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Record W4378174115 · doi:10.4271/cpgm2_11tsysce

J1349 Certified Power Engine Data for GM LZ1 as used in 2011 Chevrolet Tahoe/Silverado; GMC Yukon/Sierra; Cadillac Escalade - Level 2

2010· standard· en· W4378174115 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typestandard
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsAutomotive engineeringThrottleCylinderHorsepowerIgnition systemPetrol engineInlet manifoldFour-stroke engineEngineeringTorqueInternal combustion engineEnvironmental scienceMechanical engineeringCombustionCombustion chamberPhysicsAerospace engineeringChemistryThermodynamics

Abstract

fetched live from OpenAlex

This product includes information on the manufacturer, engine, applications, testing location, certified maximum horsepower, certified maximum torque along with the certified curves of horsepower and torque over a wide range of engine RPM speeds. In addition, this product contains complete engine information such as displacement, cylinder configuration, valve train, combustion cycle, pressure charging, charge air cooling, bore, stroke, cylinder numbering convention, firing order, compression ratio, fuel system, fuel system pressure, ignition system, knock control, intake manifold, exhaust manifold, cooling system, coolant liquid, thermostat, cooling fan, lubricating oil, fuel, fuel shut off speed, etc. Also included are all measured test parameters outlined in J2723.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.091
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0910.069

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.069
GPT teacher head0.313
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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