{"id":"W4396506040","doi":"10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a2726","title":"Regret: A Survey Among ICU Health Care Workers","year":2024,"lang":"en","type":"article","venue":"","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Regret; Health care; Medicine; Computer science; Economics; Machine learning","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":[0.002243362,0.0001711626,0.0002259569,0.0006386096,0.0005051423,0.000661184,0.0003276489,0.0009979992,0.003076566],"category_scores_gemma":[0.01538854,0.0001867662,0.0003838666,0.0005588916,0.0002457375,0.000575872,0.0004977923,0.0009434494,0.0005850337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006065851,"about_ca_system_score_gemma":0.0006485522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00690564,"about_ca_topic_score_gemma":0.005968804,"domain_scores_codex":[0.9989753,0.0004000613,0.0001314101,0.0001059896,0.0001911775,0.0001962542],"domain_scores_gemma":[0.9872227,0.005630598,0.004028766,0.0003556408,0.001202874,0.001559389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001644631,0.000344917,0.9875647,0.00004029017,0.00005998599,0.00007160081,0.0008368931,0.0005596509,0.0001550509,0.0000987589,0.001975902,0.008127642],"study_design_scores_gemma":[0.00001316794,0.0002743478,0.9919179,0.0000449595,0.00002883679,0.0002073014,0.003264824,0.00183008,0.00007543133,0.0001084349,0.002217841,0.00001698052],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996613,0.0003908882,0.0002499055,0.00108683,0.00001983006,0.00001618914,0.0004427173,0.000008223404,0.001172387],"genre_scores_gemma":[0.9980099,0.000316535,0.0001979039,0.000419931,0.00002107475,0.00001765372,0.0003792596,0.000005591409,0.0006322394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00690564,"threshold_uncertainty_score":0.01373088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09427442681333595,"score_gpt":0.4861466016627801,"score_spread":0.3918721748494441,"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."}}