{"id":"W2098059354","doi":"10.1177/2327857914031016","title":"Designing Impactful Human Factors Research Programs in Healthcare","year":2014,"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","funders":"","keywords":"Champion; Health care; Multidisciplinary approach; Harm; Work (physics); Business; Exploratory research; Knowledge management; Public relations; Medicine; Nursing; Psychology; Political science; Engineering; Computer science; Sociology","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":[0.00216136,0.0002243605,0.0003944224,0.0004211646,0.0009469512,0.00001352471,0.0006567092,0.0002261101,0.0000155255],"category_scores_gemma":[0.0003648183,0.0001699826,0.00007716076,0.0002768419,0.0001648176,0.0001794486,0.0002597019,0.001327542,0.00000280195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662852,"about_ca_system_score_gemma":0.0002303315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006092457,"about_ca_topic_score_gemma":0.00285357,"domain_scores_codex":[0.9970214,0.0001877855,0.001096437,0.0004498356,0.0005720761,0.0006724338],"domain_scores_gemma":[0.9980387,0.0003883311,0.0007356555,0.0001698475,0.0004294363,0.000238049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009703563,0.00008426365,0.9486474,0.0006398204,0.00000884962,6.002347e-8,0.02809912,0.00002825195,0.0007750995,0.02129468,0.0001867964,0.0001386068],"study_design_scores_gemma":[0.00118937,0.0006449168,0.9571124,0.002515845,0.000003463375,3.502048e-7,0.02956491,0.00006169426,0.0008209414,0.001725978,0.006127668,0.0002324737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902768,0.00005258385,0.000002385949,0.006018131,0.0006394749,0.001177902,0.00002393672,0.00003057213,0.00177824],"genre_scores_gemma":[0.9988578,0.00007645373,0.00005513593,0.0005275462,0.0001520869,0.0001138937,0.00006362272,0.00003154577,0.0001219246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0195687,"threshold_uncertainty_score":0.9210013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1820228169393622,"score_gpt":0.4486489049286988,"score_spread":0.2666260879893366,"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."}}