{"id":"W4404636996","doi":"10.1097/pts.0000000000001301","title":"AI: Promise or Peril for Patient Safety","year":2024,"lang":"en","type":"article","venue":"Journal of Patient Safety","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Patient safety; Transparency (behavior); Trustworthiness; Payment; Patient care; Medicine; Medical emergency; Internet privacy; Psychology; Business; Nursing; Computer science; Computer security; Health care; Political science; Finance","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":[0.07499414,0.0006880147,0.0007876577,0.001779297,0.004679254,0.01644104,0.002358225,0.0133558,0.02676437],"category_scores_gemma":[0.1231355,0.0003909397,0.000946062,0.0009406154,0.02668832,0.02768981,0.007556362,0.02074116,0.007768577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005269073,"about_ca_system_score_gemma":0.01116774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233797,"about_ca_topic_score_gemma":0.001297579,"domain_scores_codex":[0.9620014,0.02366911,0.001579873,0.001426886,0.009964882,0.001357894],"domain_scores_gemma":[0.7772247,0.1647499,0.008044263,0.0120172,0.02617677,0.01178708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006325421,0.0001927405,0.002696951,0.001537281,0.0001353127,0.0002925376,0.00248236,0.00074819,0.0006187621,0.6028348,0.2284899,0.1593386],"study_design_scores_gemma":[0.0001694852,0.0004247389,0.001593141,0.004228008,0.0001018331,0.001031548,0.004740857,0.002514059,0.0009856056,0.6190318,0.3650519,0.0001269715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00151902,0.01349147,0.005944103,0.9434282,0.004925274,0.00002823789,0.00007646337,0.0001416102,0.03044563],"genre_scores_gemma":[0.4778495,0.03683454,0.02035508,0.4046449,0.03356564,0.0003421701,0.0002501916,0.0003340752,0.02582395],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07499414,"threshold_uncertainty_score":0.3966116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015049270211677,"score_gpt":0.4257082698466033,"score_spread":0.3242033428254356,"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."}}