{"id":"W2767940530","doi":"10.7202/1041706ar","title":"Dissuasion conditionnelle, programme d’accès graduel à la conduite et infractions routières","year":2017,"lang":"fr","type":"article","venue":"Criminologie","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002150712,0.0002947986,0.0004143142,0.0008276721,0.00207342,0.001308045,0.0008891815,0.0004538701,0.008727013],"category_scores_gemma":[0.008470201,0.0001940491,0.0003394184,0.0009749616,0.003790303,0.0008758348,0.002017609,0.0009322278,0.0003413056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007090119,"about_ca_system_score_gemma":0.007927596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2893375,"about_ca_topic_score_gemma":0.3610177,"domain_scores_codex":[0.9976962,0.0007446564,0.00007891363,0.0003896728,0.0005526749,0.0005378321],"domain_scores_gemma":[0.9934766,0.002260243,0.002005114,0.0005504944,0.0007401321,0.0009675188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000748527,0.0008171697,0.7859635,0.0002580818,0.0001968351,0.0005966884,0.05600295,0.00377687,0.002330609,0.05161577,0.001420965,0.09627203],"study_design_scores_gemma":[0.0000374741,0.0003355777,0.9600263,0.0001382428,0.00005236513,0.0001007845,0.02231728,0.001652005,0.0007585402,0.004916927,0.00962605,0.00003853776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846824,0.0001793353,0.001012051,0.0004337238,0.0000141572,0.00004460392,0.00008750974,0.000009647857,0.01353652],"genre_scores_gemma":[0.9951169,0.00008488169,0.0003894015,0.00005976976,0.000005979224,0.00005402642,0.00006707008,0.000004683664,0.004217286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2893375,"threshold_uncertainty_score":0.5753068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6087084556179554,"score_gpt":0.513169875883932,"score_spread":0.09553857973402335,"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."}}