{"id":"W3085684736","doi":"10.3389/fped.2020.00544","title":"Unsupervised Machine Learning Algorithms Examine Healthcare Providers' Perceptions and Longitudinal Performance in a Digital Neonatal Resuscitation Simulator","year":2020,"lang":"en","type":"article","venue":"Frontiers in Pediatrics","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Alexandra Hospital; University of Alberta","funders":"","keywords":"Medicine; Neonatal resuscitation; Resuscitation; Trainer; Checklist; Psychological intervention; Intervention (counseling); Health care; Nursing; Emergency medicine; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003321719,0.0003471531,0.0003337595,0.0009174175,0.0003446811,0.0006694295,0.0004754313,0.0006011574,0.001681825],"category_scores_gemma":[0.02112931,0.0001675053,0.0003966622,0.0006904865,0.0002525785,0.0006239684,0.0006485929,0.0006193149,0.0003142024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006230417,"about_ca_system_score_gemma":0.000862863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004642888,"about_ca_topic_score_gemma":0.004554174,"domain_scores_codex":[0.9988518,0.0005784453,0.00008616816,0.0001822281,0.000175648,0.0001257358],"domain_scores_gemma":[0.9842774,0.01202026,0.001424655,0.0004800755,0.001330954,0.0004667689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005130841,0.001853133,0.8663103,0.00007049664,0.0001299729,0.00006794703,0.001196398,0.02357173,0.00120496,0.000245332,0.000906791,0.1039298],"study_design_scores_gemma":[0.00005029112,0.001558227,0.57442,0.00005858459,0.00005958559,0.0001508967,0.002041281,0.417899,0.001962093,0.0009304697,0.0008263718,0.00004331679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927487,0.00004187876,0.006084669,0.0001150321,0.000008245199,0.00009725105,0.0001490127,0.00005541863,0.0006997563],"genre_scores_gemma":[0.9938068,0.00003379232,0.005452686,0.00002511266,0.000004490423,0.00008735388,0.000243492,0.000004960567,0.0003413543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004642888,"threshold_uncertainty_score":0.01756716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610169279832493,"score_gpt":0.2850162790923883,"score_spread":0.2589145862940634,"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."}}