{"id":"W1515854828","doi":"","title":"Systèmes de transport en commun en Ontario","year":2008,"lang":"fr","type":"article","venue":"","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000177107,0.0003073789,0.0003744212,0.0000642405,0.0001120223,0.00001005662,0.0002986449,0.0003756687,0.004860516],"category_scores_gemma":[0.000005074427,0.0003301651,0.0001805686,0.0001114043,0.0001641752,0.0001217362,0.000008969035,0.0006844045,0.000386414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009104121,"about_ca_system_score_gemma":0.0003088998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1325772,"about_ca_topic_score_gemma":0.2021784,"domain_scores_codex":[0.9986052,0.0000458512,0.0003973373,0.0001864121,0.0001773795,0.0005878427],"domain_scores_gemma":[0.9992362,0.0001251357,0.00002061183,0.0003679064,0.00002806401,0.0002220705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004110987,0.0004893668,0.7599196,0.0008636878,0.0006717764,0.003579303,0.06393977,0.0259301,0.0003726473,0.1173979,0.0246201,0.002174661],"study_design_scores_gemma":[0.0007405461,0.00009090898,0.6408802,0.0001387796,0.0002465695,0.0004265214,0.0001975332,0.003402165,0.0007454249,0.000912827,0.3515398,0.0006787489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3131418,0.0111129,0.2463097,0.001091606,0.002684559,0.0003854215,0.0001240399,0.0008044854,0.4243455],"genre_scores_gemma":[0.8725424,0.001489082,0.0185642,0.000130692,0.0002576645,0.000007726188,0.00006082486,0.00005846895,0.106889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5594006,"threshold_uncertainty_score":0.9999151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456076736816135,"score_gpt":0.1820565303735675,"score_spread":0.1574957630054062,"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."}}