{"id":"W6950614385","doi":"10.5683/sp3/xumxst","title":"Uniform Crime Reporting Incident-Based Survey (UCR): Injury Inflicted by Weapon","year":2016,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Crime statistics; Measure (data warehouse); Survey methodology; Criminal justice; Official statistics; Survey data collection; Economic Justice; Dark figure of crime","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001708571,0.001820924,0.001442223,0.006534514,0.001398277,0.001945003,0.004465797,0.001037067,0.01609352],"category_scores_gemma":[0.01034994,0.0009600349,0.001195866,0.0107167,0.0004402544,0.0008484175,0.001728851,0.001797322,0.009656713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01003055,"about_ca_system_score_gemma":0.01786065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8897431,"about_ca_topic_score_gemma":0.9333953,"domain_scores_codex":[0.9981457,0.000160142,0.0003144516,0.0002861015,0.0007538426,0.0003398041],"domain_scores_gemma":[0.9929971,0.0003620468,0.001087466,0.0004954413,0.004458024,0.0005999428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008133594,0.00002645764,0.01207514,0.0005875675,0.0000860562,0.00004873419,0.00006498818,0.0003597039,0.00003696022,0.000745062,0.9831725,0.002715469],"study_design_scores_gemma":[0.0004209039,0.00004903997,0.2290636,0.001420241,0.0001778175,0.0002485146,0.00053686,0.001925339,0.0005261811,0.001092244,0.7643872,0.0001520255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004235246,0.00006284087,0.00005802416,0.0000450789,0.00001478673,0.00003408064,0.9987469,0.00005129207,0.0005635285],"genre_scores_gemma":[0.001396752,0.00009716081,0.0002309261,0.00003204934,0.000006757024,0.00010754,0.9972537,0.00001958395,0.0008555673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8897431,"threshold_uncertainty_score":0.2218124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03756505250927579,"score_gpt":0.3219162174651848,"score_spread":0.2843511649559091,"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."}}