{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002209967,0.0002073289,0.0003357318,0.000513058,0.0001304755,0.00005333746,0.00008317942,0.0001631954,0.0000209544],"category_scores_gemma":[0.0006425122,0.0002275223,0.000042583,0.001185381,0.00006744385,0.0004745009,0.00004026478,0.0006886116,0.000007563548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003818427,"about_ca_system_score_gemma":0.0004249323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001434398,"about_ca_topic_score_gemma":0.00002213932,"domain_scores_codex":[0.998138,0.0000649901,0.0005604409,0.0004914482,0.0003853511,0.000359809],"domain_scores_gemma":[0.9989486,0.0002014903,0.0001164766,0.0001628136,0.000234792,0.0003358745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002278974,0.00005029678,0.9726096,0.0007249011,0.000005223568,0.00001868705,0.007797653,0.004904739,0.000001305111,0.000004390381,0.000199679,0.01345566],"study_design_scores_gemma":[0.001773472,0.0003121607,0.6867862,0.00005132937,0.00001955185,0.000006580117,0.004790791,0.3058977,0.000001531658,0.00002292306,0.0001807997,0.0001570476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866495,0.002409844,0.003319845,0.006213623,0.000449314,0.0008056391,0.00004367251,0.000088917,0.00001961924],"genre_scores_gemma":[0.9911447,0.0004492579,0.006859165,0.0004153399,0.0004987872,0.0000442435,0.0005021628,0.00003860605,0.00004780146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3009929,"threshold_uncertainty_score":0.9278089,"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."}}