{"id":"W3128126376","doi":"10.1126/science.371.6530.661","title":"Study: Police diversity matters","year":2021,"lang":"en","type":"article","venue":"Science","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Diversity (politics); Landmark; Criminology; Political science; Geography; Sociology; Law; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002929236,0.0002609295,0.000191397,0.002240867,0.005769873,0.003011828,0.0005251399,0.0008213799,0.005897615],"category_scores_gemma":[0.008675371,0.0001692792,0.0002125434,0.003849473,0.002770216,0.002483597,0.002253674,0.001804593,0.0007630919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002347908,"about_ca_system_score_gemma":0.003575684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02041004,"about_ca_topic_score_gemma":0.0513434,"domain_scores_codex":[0.9977176,0.0009866745,0.0000656461,0.0003807753,0.0004791442,0.0003701307],"domain_scores_gemma":[0.9915167,0.003166343,0.001690503,0.000595745,0.001596669,0.001434192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004129612,0.0003675357,0.6425835,0.0004317694,0.0001558672,0.0004302599,0.09606646,0.0001274415,0.001313229,0.02800107,0.1084063,0.1217036],"study_design_scores_gemma":[0.00003833169,0.0002690324,0.7293834,0.0008384676,0.00009081962,0.0003464062,0.1569978,0.0001635441,0.001243009,0.005891918,0.104688,0.00004920544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8783808,0.004410582,0.0007162106,0.05328123,0.0007051215,0.00009370739,0.001248598,0.00002056422,0.06114313],"genre_scores_gemma":[0.9801857,0.00261397,0.0002774298,0.008789515,0.0009136531,0.00006627026,0.0004092922,0.00001738864,0.006726824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02041004,"threshold_uncertainty_score":0.04058248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1046251411617655,"score_gpt":0.4231796214903943,"score_spread":0.3185544803286289,"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."}}