{"id":"W6964131612","doi":"10.25318/2310013701-fra","title":"Enquête sur les véhicules au Canada, autobus, passagers-kilomètres selon le type de véhicule et la raison du déplacement (spécifique au type du véhicule), trimestriel","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Homogeneous; Context (archaeology)","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":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003040596,0.002149873,0.001841393,0.0005629138,0.001540729,0.0005348833,0.001469116,0.001352971,0.0006620146],"category_scores_gemma":[0.009603336,0.002486686,0.0001583159,0.001590933,0.0004782442,0.0004778309,0.0004216025,0.002086219,0.0002124771],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02033922,"about_ca_system_score_gemma":0.1220142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977955,"about_ca_topic_score_gemma":0.9997525,"domain_scores_codex":[0.9874497,0.002794256,0.002082415,0.001974781,0.003207115,0.002491736],"domain_scores_gemma":[0.9857555,0.005971761,0.00227022,0.001600733,0.003197733,0.001204055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005438371,0.0005894789,0.00437237,0.001942349,0.000750236,0.001448431,0.0004807241,0.004095714,0.0006684797,0.00877471,0.9745038,0.001829907],"study_design_scores_gemma":[0.001589865,0.0003825695,0.06427952,0.001657363,0.001047689,0.0001649305,0.001588948,0.004786693,0.001051365,0.00004975091,0.9208327,0.002568608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01166841,0.0009372435,0.001736524,0.00293478,0.004594041,0.002248598,0.9747459,0.0001153828,0.001019088],"genre_scores_gemma":[0.124973,0.001208946,0.001278886,0.0003022033,0.0007575835,0.000170813,0.8630037,0.0005086256,0.007796164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1133046,"threshold_uncertainty_score":0.9999435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154216269336747,"score_gpt":0.2641964264400551,"score_spread":0.2526542637466876,"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."}}