{"id":"W2185064799","doi":"","title":"Police/Public Interaction: Arrests, Use of Force by Police, and Resulting Injuries to Subjects and Officers— A Description of Risk in One Major","year":2008,"lang":"en","type":"article","venue":"","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law enforcement; Officer; Police department; Deadly force; Criminology; Law; Political science; Metropolitan police; Sociology","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":[0.001166012,0.000404499,0.0003777321,0.002573432,0.002049754,0.003471258,0.0009768361,0.00130536,0.004729709],"category_scores_gemma":[0.006141138,0.0003523709,0.00078195,0.001973128,0.002259838,0.002458702,0.00335554,0.001378798,0.0003330507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002667104,"about_ca_system_score_gemma":0.003513524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04662533,"about_ca_topic_score_gemma":0.05816283,"domain_scores_codex":[0.9983858,0.0004928526,0.0001740297,0.0001180042,0.0005118145,0.0003175648],"domain_scores_gemma":[0.9969963,0.0008033402,0.001282803,0.0001833115,0.0004149672,0.0003194491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003435919,0.0003225357,0.9166564,0.0005032617,0.0001991539,0.001362576,0.02795595,0.0003406722,0.000638391,0.01467348,0.003800312,0.03320358],"study_design_scores_gemma":[0.00001514606,0.0005239329,0.9179798,0.0004923954,0.000179977,0.003401731,0.05417778,0.0005786349,0.0004734965,0.003506338,0.01861417,0.00005657084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415438,0.00721118,0.001309223,0.007997486,0.0001321657,0.0001245658,0.001091689,0.0000430293,0.04054677],"genre_scores_gemma":[0.9932629,0.003162948,0.0004182971,0.0003620134,0.0001881363,0.00008723282,0.0002762992,0.00001238439,0.002229838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04662533,"threshold_uncertainty_score":0.09270787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1173406179074089,"score_gpt":0.349999774325992,"score_spread":0.2326591564185831,"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."}}