{"id":"W4414484916","doi":"10.2196/65287","title":"Using Electronic Health Data to Deliver an Adaptive Online Learning Solution to Emergency Trainees: Mixed Methods Pilot Study","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"E-Learning and COVID-19","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Online learning; Adaptive learning; Data collection; Key (lock); Emergency response; Adaptive design; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02230068,0.001028884,0.001059675,0.001088042,0.002243174,0.001994005,0.0016825,0.00151637,0.004388428],"category_scores_gemma":[0.01955412,0.0008196185,0.001140933,0.0006297766,0.001256938,0.001805865,0.001780846,0.001477189,0.0008144046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778977,"about_ca_system_score_gemma":0.006106432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00264866,"about_ca_topic_score_gemma":0.004996891,"domain_scores_codex":[0.9913741,0.005509537,0.0005800935,0.0008533435,0.0007934928,0.0008894529],"domain_scores_gemma":[0.9820169,0.01137363,0.001327446,0.001187074,0.00250173,0.00159333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.02061031,0.4078583,0.07026374,0.00597028,0.0007794547,0.001245954,0.1125481,0.00120461,0.00766755,0.001720151,0.00391234,0.3662193],"study_design_scores_gemma":[0.03366689,0.6166829,0.1447721,0.002800572,0.001107685,0.0005984998,0.1579463,0.00561896,0.008926117,0.002848607,0.02459599,0.000435373],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984977,0.000144468,0.001988784,0.0002055083,0.00004347478,0.01148229,0.0001649883,0.00003001839,0.0009633911],"genre_scores_gemma":[0.9163357,0.0006743043,0.02463521,0.001560946,0.0001225552,0.05362218,0.0002646851,0.00003300038,0.002751379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02230068,"threshold_uncertainty_score":0.1179388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1902363328191175,"score_gpt":0.5637021767641004,"score_spread":0.3734658439449829,"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."}}