{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000415327,0.0001348759,0.0003085846,0.0001724534,0.0001292702,0.00002913624,0.0000652962,0.00009842134,0.0005918477],"category_scores_gemma":[0.0004620256,0.00008743966,0.0002432339,0.000217918,0.00003936695,0.000189159,0.00001741635,0.0003206012,0.00003846653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004071697,"about_ca_system_score_gemma":0.0009593974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002774457,"about_ca_topic_score_gemma":0.00001587743,"domain_scores_codex":[0.9980127,0.00004862886,0.001157951,0.0001651665,0.000368464,0.0002471488],"domain_scores_gemma":[0.9984452,0.0002814171,0.0002516459,0.0001571394,0.0006220359,0.0002425921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01081506,0.0006040302,0.002056326,0.0009632219,0.0001853619,0.0001447295,0.01734704,0.0002267672,0.0005685911,0.0009213871,0.04682198,0.9193455],"study_design_scores_gemma":[0.0002996693,0.009011683,0.0008985815,0.001740116,0.0002323863,0.0005599158,0.005430578,0.002142162,0.01009778,0.001615625,0.9677518,0.0002196974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9157828,0.003640974,0.01048065,0.05390903,0.01183807,0.002543843,0.00008374701,0.00008561442,0.001635279],"genre_scores_gemma":[0.993665,0.0004278941,0.002280767,0.001901511,0.00107676,0.00002233752,0.00001887282,0.00002969331,0.0005772027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9209298,"threshold_uncertainty_score":0.6480318,"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."}}