{"id":"W2604439032","doi":"10.71781/23395","title":"Segmentation et structure des risques d'arrestation dans les marchés de drogues illégales","year":2006,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","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":[0.0008219249,0.0004204094,0.0007220002,0.005364281,0.0008367248,0.002268502,0.000708212,0.0009238204,0.006639018],"category_scores_gemma":[0.004967875,0.0003678532,0.0009845988,0.00279337,0.0005064003,0.0006007002,0.0005969501,0.0006922342,0.001290568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002382274,"about_ca_system_score_gemma":0.002281999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3767307,"about_ca_topic_score_gemma":0.4321883,"domain_scores_codex":[0.9997373,0.0000442381,0.00001671227,0.00008086095,0.00004107141,0.00007979733],"domain_scores_gemma":[0.9981182,0.0007911026,0.0002780141,0.0001138987,0.0005507796,0.0001480097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000874292,0.0001290376,0.5629702,0.0004657793,0.0005298214,0.0006474412,0.003284436,0.006271408,0.01256659,0.002282861,0.02311735,0.3868607],"study_design_scores_gemma":[0.00002750077,0.00005703097,0.9680485,0.0001514066,0.0001627667,0.0002749394,0.001452642,0.01818654,0.001293166,0.002106567,0.008194502,0.00004439096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9365797,0.01174624,0.01733991,0.005066306,0.0002240154,0.0001899284,0.01871686,0.0007229651,0.009414252],"genre_scores_gemma":[0.9535986,0.003068618,0.01909192,0.0002596806,0.0001985287,0.0001094213,0.009505667,0.0002375715,0.01393011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3767307,"threshold_uncertainty_score":0.7490758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06127229096990246,"score_gpt":0.4000320265011737,"score_spread":0.3387597355312713,"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."}}