{"id":"W7046114684","doi":"","title":"Controlando a atividade policial: uma análise comparada dos códigos de conduta no Brasil e Canadá","year":2011,"lang":"pt","type":"other","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Work (physics); Politics; Information system; Action (physics)","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":[0.002398617,0.0002607176,0.0004005664,0.00328563,0.006396201,0.003227084,0.001166382,0.000643394,0.003945212],"category_scores_gemma":[0.008819821,0.0003225666,0.0003551581,0.006260236,0.003587521,0.0007471307,0.002283316,0.001124373,0.0002367953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05212362,"about_ca_system_score_gemma":0.1156915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9776186,"about_ca_topic_score_gemma":0.9907865,"domain_scores_codex":[0.9961966,0.0006719656,0.0001293563,0.0002902681,0.001448013,0.001263905],"domain_scores_gemma":[0.9910092,0.001558103,0.001280509,0.0004214736,0.003813211,0.001917424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002756114,0.0002024478,0.5292076,0.001014556,0.0001372222,0.0004064048,0.04611563,0.001157339,0.000802479,0.0641823,0.02416222,0.3323361],"study_design_scores_gemma":[0.0000250696,0.0001010417,0.858317,0.0009656092,0.0001311138,0.0001517566,0.04718894,0.0006119147,0.0006008695,0.002885634,0.08895145,0.00006962351],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8028048,0.02112481,0.002414895,0.03575014,0.0002867786,0.0003586886,0.002676612,0.0001422831,0.134441],"genre_scores_gemma":[0.9793196,0.009319803,0.001439358,0.0009695429,0.00003263341,0.0000778107,0.0003424817,0.00002347667,0.008475166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05212362,"threshold_uncertainty_score":0.3781851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973831785054355,"score_gpt":0.2551556641553518,"score_spread":0.2354173463048083,"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."}}