{"id":"W2074352162","doi":"10.7202/017220ar","title":"Prévenir le vol à main armée ?","year":2005,"lang":"en","type":"article","venue":"Criminologie","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visibility; Control (management); Sample (material); Business; Criminology; Advertising; Political science; Computer security; Psychology; Geography; Management; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004769524,0.0003554779,0.0002598803,0.000985687,0.002954139,0.002072528,0.00104249,0.001077908,0.1208591],"category_scores_gemma":[0.002297827,0.0002238244,0.0002487086,0.0007573023,0.001445259,0.001144484,0.001059171,0.0008971376,0.00951803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003844603,"about_ca_system_score_gemma":0.004109949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3700092,"about_ca_topic_score_gemma":0.6389765,"domain_scores_codex":[0.9995514,0.00005652092,0.000009142585,0.0000499478,0.0001153746,0.0002176697],"domain_scores_gemma":[0.998566,0.00008390599,0.0003257157,0.00005253137,0.0002226851,0.0007492183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000221739,0.0005382909,0.3690164,0.000571593,0.00006497132,0.002078427,0.006461318,0.0001136421,0.00155964,0.009020021,0.2919917,0.3183624],"study_design_scores_gemma":[0.00002329284,0.00033561,0.5505328,0.0003977636,0.00003649426,0.001750735,0.02148537,0.0001381643,0.0005424062,0.0006559794,0.4240493,0.00005199232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6503319,0.01931052,0.0006039805,0.08921741,0.002464441,0.0001801359,0.002694184,0.0003692038,0.2348282],"genre_scores_gemma":[0.7650733,0.007889261,0.0004276693,0.006307927,0.0007951531,0.00003781118,0.0006928408,0.0000545354,0.2187215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3700092,"threshold_uncertainty_score":0.7357111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5729938120273774,"score_gpt":0.5617321435941574,"score_spread":0.01126166843322007,"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."}}