{"id":"W4403479663","doi":"10.62920/3jpwpp86","title":"Élasticités et effet rebond des véhicules légers au Canada","year":2024,"lang":"en","type":"article","venue":"Facteurs humains :","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001476671,0.000561639,0.0007376932,0.000835614,0.00118629,0.002243391,0.001289847,0.001039545,0.009135741],"category_scores_gemma":[0.007683727,0.0003819557,0.001030268,0.001427107,0.0008287205,0.0006800535,0.0007448742,0.001315966,0.0006213816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02263875,"about_ca_system_score_gemma":0.0160354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9865529,"about_ca_topic_score_gemma":0.9844176,"domain_scores_codex":[0.9989141,0.0002285126,0.00003332345,0.0001499442,0.000280151,0.0003938495],"domain_scores_gemma":[0.9961904,0.001959825,0.0003797399,0.0001945296,0.0008205068,0.0004549659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001646271,0.0005594542,0.6975678,0.000237895,0.0008794754,0.0004900827,0.0007103731,0.2148482,0.001736618,0.01295691,0.009540177,0.0588268],"study_design_scores_gemma":[0.0002276333,0.0005604647,0.7591334,0.0001310859,0.0005545747,0.0001562222,0.003805961,0.2121474,0.001747772,0.002774284,0.01862954,0.000131541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844264,0.001205735,0.001008564,0.001416164,0.00003304139,0.00003903838,0.003010001,0.0001010229,0.008759878],"genre_scores_gemma":[0.9881193,0.0006043937,0.0003738939,0.0001117757,0.000008440364,0.00001475154,0.001332978,0.00001711042,0.009417484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02263875,"threshold_uncertainty_score":0.1642564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121335490004969,"score_gpt":0.2926025536426929,"score_spread":0.180469004642196,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}