{"id":"W2111915613","doi":"10.1136/injuryprev-2012-040580c.27","title":"SAFER BARS: REDUCING VIOLENCE IN AND AROUND LICENSED PREMISES","year":2012,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Community Health and Development","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SAFER; Precinct; Poison control; Audit; Injury prevention; Human factors and ergonomics; Suicide prevention; Football; Occupational safety and health; Observational study; Medical emergency; Engineering; Psychology; Applied psychology; Medicine; Computer security; Business; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001491816,0.00009634801,0.0001485451,0.0001157882,0.0003600574,0.00000612484,0.00007566717,0.0001276264,0.0002942637],"category_scores_gemma":[0.0002076178,0.00009509732,0.00001976488,0.0001499906,0.00002161469,0.0002962148,0.0001257368,0.0004587822,0.0001113116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001929405,"about_ca_system_score_gemma":0.0002037507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005683738,"about_ca_topic_score_gemma":0.0001616629,"domain_scores_codex":[0.9982212,0.0006257053,0.000439537,0.0001336086,0.0001215673,0.0004584328],"domain_scores_gemma":[0.9991904,0.000254682,0.0001230993,0.000223336,0.00004053992,0.0001679346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002643534,0.0002648054,0.8257613,0.0006746593,0.000009846681,6.630137e-7,0.01357691,0.000001583365,0.0009164851,0.0009199711,0.001780136,0.1558293],"study_design_scores_gemma":[0.0006505281,0.00006337472,0.9799499,0.002102311,0.000007023275,0.000001743232,0.002853529,0.00003921715,0.0001543962,0.00351649,0.01050232,0.0001591573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935058,0.0006608149,0.00009462723,0.0003363659,0.0004862459,0.0007611708,0.000002948712,0.0000489062,0.004103058],"genre_scores_gemma":[0.9966789,0.0005441773,0.001058767,0.0005079206,0.0001657684,0.0001450629,0.00001326109,0.00001092437,0.0008751893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1556702,"threshold_uncertainty_score":0.3877956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07339687474787131,"score_gpt":0.4497789311140065,"score_spread":0.3763820563661352,"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."}}