int_driver_isolation_lap_values

Driver isolation tier 1 per Ω lap: pure_skill_gain_s = p (pace_isolated_gain_s) plus the declared season offset pure_season_offset_gain_s (W33; var isolation_pure_season_offset_gain_s, 2018 +0.37 s).

Part of the Skill family.

Driver isolation tier 1 per Ω lap: pure_skill_gain_s = p (pace_isolated_gain_s) plus the declared season offset pure_season_offset_gain_s (W33; var isolation_pure_season_offset_gain_s, 2018 +0.37 s). The tactical tier was cancelled on 2026-09-28. NULLs are declared, never zeros: no car term -> p and pure NULL. Positive = faster. Leakage: a function of the residual trajectory; no ML-contract mart may depend on it (T48, ml/tests/test_manifest_contract.py). WI-16a, _roadmap/_fixes/wi/WI-16-cumulative-driver-isolation.md.

Lineage

Overview

Property	Value
Layer	intermediate
Family	Skill
Contract enforced	No
Tags	driver_isolation
Upstream	int_driver_isolation_lap_pace, int_driver_isolation_stint_tyre

15 tests guard this model - 15 generic, 0 singular.

Columns

Column	Type	Nullable	Tests	Description
lap_id		Yes	not_null, unique	Lap identifier (int_lap_residual_decomposed.lap_id).
stint_id		Yes	not_null	Stint identifier (int_stint_geometry.stint_id).
race_year		Yes	not_null	Season.
race_id		Yes	not_null	FastF1 event id, e.g. 2021_8.
driver_id		Yes	not_null	Driver (three-letter code). In the pair mart, the focal driver whose gains the row reports.
constructor_id		Yes	not_null	Constructor (stg_laps.constructor_id).
stint_number		Yes		Stint ordinal within the driver’s race (int_stint_geometry).
lap_number		Yes	not_null	Race lap number. Tiers 1 and 3 match cars on it, which is why 2020_1 is excluded (W18).
compound		Yes	not_null	Dry compound of the stint (INTERMEDIATE and WET laps are not in Ω).
age_in_stint		Yes	not_null	Tyre age in laps (int_stint_geometry).
lap_in_stint		Yes		Lap ordinal within the stint, counting every lap.
valid_lap_in_stint		Yes		Ordinal among the stint’s valid laps; early vs mid phase splits at 5/6.
laps_past_cliff		Yes		Laps beyond the compound seed’s cliff onset (0 before it); drives tyre_phase = cliff. Never NULL in Ω.
fuel_mass_kg		Yes		Scheduled-distance fuel load, kg. The same for every car on a lap, so it cancels from every rating (carried for WI-16b’s V4 physics check).
era		Yes		Regulation era: pre<era_boundary> or post<era_boundary> (var era_boundary, 2022).
anomaly_class		Yes		int_lap_anomaly_flags.anomaly_class; normal or clean_cliff in Ω.
air_state_dominant		Yes		int_lap_air_state.air_state_dominant (context; dirty_air drives the recovery overlay).
is_dirty_air_lap		Yes		TRUE when air_state_dominant = ‘dirty_air’.
field_n		Yes		Ω laps on this (race, lap); >= var(‘isolation_min_field_n’) by construction (T40).
tyre_phase		Yes	accepted_values	early (laps_past_cliff = 0, valid_lap_in_stint <= 5), mid (laps_past_cliff = 0, >= 6) or cliff (laps_past_cliff > 0), from the seed’s onset, so never selected on the residual.
is_recovery		Yes		TRUE on the first var(‘isolation_recovery_laps’) valid laps of a non-dirty-air run directly after >= var(‘isolation_recovery_min_dirty_run’) consecutive dirty-air valid laps in the stint. Backward-looking only.
stint_phase		Yes	accepted_values	’recovery’ when is_recovery, else tyre_phase (T45).
lap_time_s		Yes		Raw lap time, s.
compound_component_s		Yes		C: the compound seed’s expected cost of this tyre state, s, positive = slower (int_lap_residual_decomposed). Never COALESCEd: an unknown tyre is not in Ω.
dirty_air_tax_s		Yes		D: dirty-air tax, s, positive = slower (int_lap_residual_decomposed).
x_s		Yes		lap_time_s - compound_component_s - dirty_air_tax_s, s.
y_s		Yes		x_s minus the lap’s Ω field median of x_s, s. POSITIVE = SLOWER than the field- typical car and driver on the lap. Invariant to the field base, fuel, rubber and ambient terms, which depend on (race, lap) only (T41).
tyre_offset_vs_field_s		Yes		compound_component_s minus the lap’s Ω field median of it, s; positive = this tyre state costs more than the field’s. The strategy position on the lap: team-dominated context, not a rating.
car_iso_s		Yes		Isolation car term, s, NEGATIVE = FASTER than the race’s lap-weighted car (int_constructor_car_fe_isolation). NULL when not identified.
car_term_source		Yes	accepted_values	Where car_iso_s came from: driver_id (fitted per-era), unidentified (multiple components in race), not_estimated (pyfixest singleton), or no_fit_row (no row in the fit).
pace_isolated_gain_s		Yes		p = -(y_s - car_iso_s), s/lap. POSITIVE = FASTER than the field on an equal car, tyre state, traffic and fuel: the driver plus noise, everything modelled removed. NULL without a car term (never a car term of 0).
pure_skill_gain_s		Yes		Tier 1, s/lap, POSITIVE = FASTER: pace_isolated_gain_s + pure_season_offset_gain_s. The offset is a per-season constant, so within a season pure ranks and differences equal p’s. NULL without a car term. On cliff laps it is not a driver measurement (pure_is_extrapolated) and pure aggregates skip it.
pure_season_offset_gain_s		Yes	not_null	The declared season-level offset inside pure_skill_gain_s, s/lap (positive = the season’s pure is raised; 0 for seasons not in var isolation_pure_season_offset_gain_s). W33 Option A, 2026-09-30: 2018 +0.37 s, the measured gap between 2018’s mean race pure and the 2019-2024 seasons’, caused by 2018’s 42% share of fast-reading cliff laps in the field median. A stopgap until WI-02b’s cliff-cost refit; see the var’s comment in dbt_project.yml.
pure_is_extrapolated		Yes	not_null	TRUE on cliff-tyre laps (tyre_phase = ‘cliff’): the lap time there is dominated by the tyre, so pure_skill_gain_s is not a driver measurement; aggregates exclude these laps.
n_line_laps		Yes		Line laps the stint’s slope was fitted on (early/mid, not recovery, with p). Below var(‘isolation_min_stint_laps’) the slope and every tactical value are NULL.
line_ref_age_laps		Yes		age_ref: the tyre age of the stint’s first line lap, laps. Tactical accumulates from here (a declared attribution rule).
season_sigma_w_s		Yes		Pooled within-stint SD of p around its stint line for the season, s.
season_neff_factor		Yes		f = (1 - rho+)/(1 + rho+), rho+ = GREATEST(season_rho1, 0): the effective-sample factor every SE uses. NULL if rho cannot be measured.