{"id":"W3208225724","doi":"10.1002/aet2.10707","title":"Using natural language processing to compare task‐specific verbal cues in coached versus noncoached cardiac arrest teams during simulated pediatrics resuscitation","year":2021,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary; University of Alberta","funders":"","keywords":"Excellence; Cardiopulmonary resuscitation; Directive; Psychology; Adaptation (eye); Medicine; Applied psychology; Resuscitation; Computer science; Emergency medicine","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":[0.0002115204,0.0001607238,0.0002925166,0.0002378102,0.0001766379,0.00009681475,0.00003605811,0.00006296539,0.000005104995],"category_scores_gemma":[0.0002393604,0.0001697176,0.00006938064,0.0007732857,0.00003516787,0.0001891391,0.00002577131,0.0002437321,0.00000416023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002299402,"about_ca_system_score_gemma":0.0005595011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007930837,"about_ca_topic_score_gemma":0.00006503534,"domain_scores_codex":[0.9987485,0.00008922799,0.0002941649,0.0003564658,0.0002557012,0.0002559349],"domain_scores_gemma":[0.9992953,0.0001099438,0.00008873992,0.0001451441,0.0002041186,0.0001567871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002140053,0.0006853095,0.3533022,0.001272173,0.0001868321,0.0002271127,0.3212613,0.005897188,0.1414459,0.0001892122,0.0003557211,0.1730371],"study_design_scores_gemma":[0.004195984,0.00003317754,0.7957406,0.0005411857,0.0001870368,0.00001648679,0.1905027,0.006447048,0.001427379,0.00001238962,0.0004559047,0.0004400559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914963,0.003780767,0.00005283917,0.0003061212,0.003391608,0.0002871789,0.000005793552,0.00005902458,0.0006203133],"genre_scores_gemma":[0.9955119,0.00004967109,0.003012862,0.00007043403,0.0009636393,0.00001001998,0.000310834,0.00002640084,0.0000441764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4424384,"threshold_uncertainty_score":0.6920882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574496597040355,"score_gpt":0.3429898565315325,"score_spread":0.3072448905611289,"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."}}