{"id":"W6996448619","doi":"","title":"Savoirs policiers, profilage politique et désinformation : la police montréalaise et son projet GAMMA","year":2020,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Publics; Ethnography; Corpus linguistics","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":[0.003903133,0.0004733381,0.000384178,0.00408054,0.01171161,0.008896206,0.001322683,0.001409576,0.01022591],"category_scores_gemma":[0.01336535,0.0005713154,0.0002578557,0.007277435,0.01062807,0.003097855,0.005594565,0.002152598,0.0006938442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05165052,"about_ca_system_score_gemma":0.08597377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9123472,"about_ca_topic_score_gemma":0.9402438,"domain_scores_codex":[0.9960038,0.001281518,0.00008257994,0.0003678488,0.001116778,0.001147388],"domain_scores_gemma":[0.9883033,0.003226538,0.001164495,0.0005226192,0.003804156,0.002978862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001884728,0.00009895882,0.1041067,0.0006204721,0.00006576649,0.001645042,0.5896678,0.0005690002,0.002703377,0.144413,0.04350707,0.1124143],"study_design_scores_gemma":[0.00002350601,0.00009211712,0.1562387,0.000535845,0.00002890103,0.00024319,0.2288684,0.0003104793,0.001093438,0.002546271,0.6099113,0.0001078351],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7402097,0.01269671,0.00304975,0.06582628,0.0006806146,0.0004643418,0.001596181,0.0001735113,0.1753029],"genre_scores_gemma":[0.9310406,0.003570294,0.001040012,0.001930129,0.0001674165,0.0001819061,0.0003605709,0.00007046103,0.06163863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0876528,"threshold_uncertainty_score":0.3747525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008625844623483505,"score_gpt":0.2063974179738826,"score_spread":0.1977715733503991,"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."}}