{"id":"W2933190806","doi":"10.4000/books.pum.11721","title":"8. Le délinquant innovateur : l’adaptation du milieu de la fraude par cartes bancaires à Montréal","year":2016,"lang":"fr","type":"book-chapter","venue":"Presses de l’Université de Montréal eBooks","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006673491,0.0002731057,0.0001615469,0.001613697,0.002645223,0.004064156,0.0009886976,0.0009594657,0.008384036],"category_scores_gemma":[0.0020299,0.0002505661,0.0003290975,0.002339705,0.004337554,0.001164908,0.001400443,0.0007172399,0.0003055624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03345378,"about_ca_system_score_gemma":0.02223741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8958609,"about_ca_topic_score_gemma":0.9281626,"domain_scores_codex":[0.9992335,0.0001205459,0.00001556847,0.000106692,0.0002383968,0.0002853345],"domain_scores_gemma":[0.998817,0.0001611252,0.0003427268,0.00006901679,0.000328643,0.0002816377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001716271,0.000157244,0.2563236,0.000238816,0.0001048706,0.001533934,0.05483994,0.007605462,0.005265176,0.5087421,0.02703157,0.1379856],"study_design_scores_gemma":[0.00003035632,0.0001098209,0.6775178,0.0001997185,0.00007470635,0.0002983399,0.01737982,0.003848193,0.00212432,0.01044043,0.287883,0.00009341037],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7390992,0.004372253,0.003425778,0.01820864,0.00009607858,0.0001264202,0.0008907609,0.00005870836,0.2337222],"genre_scores_gemma":[0.933922,0.001428275,0.0008381139,0.0003783516,0.00003622439,0.00002359411,0.0001413328,0.0000117991,0.06322031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1041391,"threshold_uncertainty_score":0.2427253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181470661685737,"score_gpt":0.1969304305704066,"score_spread":0.1851157239535492,"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."}}