{"id":"W3185740858","doi":"10.1177/2327857921101249","title":"Focusing the Safety Spotlight: How Safety Intelligence Can Inform Systemic Patient Safety Initiatives","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; CARE Canada","funders":"","keywords":"Patient safety; Liability; Panel discussion; Work (physics); Health care; Occupational safety and health; Medicine; Public relations; Business; Engineering; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006844896,0.0002547314,0.0003934019,0.0001220665,0.001286143,0.00001704694,0.0005519082,0.0001605909,0.00003428274],"category_scores_gemma":[0.0004151699,0.0001670493,0.0001178709,0.0002200741,0.0001625511,0.000242469,0.0004064593,0.000783619,0.00000231597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807405,"about_ca_system_score_gemma":0.0005250403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003503758,"about_ca_topic_score_gemma":0.0007300556,"domain_scores_codex":[0.9973837,0.00009531707,0.001265386,0.0003783944,0.0004691519,0.0004081253],"domain_scores_gemma":[0.9972079,0.0004743744,0.001337167,0.0002074256,0.000626392,0.0001467327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001419165,0.0001865441,0.5281515,0.002573787,0.0001808571,0.000001278163,0.2752218,0.001278046,0.0008737975,0.1864745,0.0005439143,0.003094861],"study_design_scores_gemma":[0.001873448,0.000465507,0.5423038,0.009359701,0.0000479964,0.00001749683,0.348202,0.0003825934,0.00648706,0.0009966624,0.08908266,0.0007810975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965126,0.0002813725,0.00003552956,0.02408487,0.001921913,0.001066417,0.0003212412,0.00003311215,0.007129479],"genre_scores_gemma":[0.9961152,0.001381209,0.000047289,0.0019802,0.0001610605,0.0000497979,0.00008521437,0.00002424984,0.0001557579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1854779,"threshold_uncertainty_score":0.9892101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04940320350633516,"score_gpt":0.34900489940374,"score_spread":0.2996016958974048,"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."}}