{"id":"W4403635011","doi":"10.1080/14739879.2024.2412600","title":"What can we learn from pandemic educational methods?: military general practice trainees’ attitudes to feedback from recorded consultations","year":2024,"lang":"en","type":"article","venue":"Education for Primary Care","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal College of Physicians and Surgeons of Canada","funders":"","keywords":"Pandemic; Medical education; General practice; Psychology; Coronavirus disease 2019 (COVID-19); Medicine; Family medicine; Infectious disease (medical specialty); Pathology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004157799,0.0003362968,0.0003971145,0.0003290854,0.001135118,0.0001055694,0.0005977797,0.000319356,0.0009190455],"category_scores_gemma":[0.002627254,0.000362457,0.000155227,0.0006140377,0.00008382691,0.001100995,0.0001827276,0.0009348753,0.0004240161],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002538884,"about_ca_system_score_gemma":0.01197291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008673995,"about_ca_topic_score_gemma":0.002891314,"domain_scores_codex":[0.9952738,0.001929007,0.001066994,0.0008626991,0.0003544125,0.0005130516],"domain_scores_gemma":[0.9848167,0.01152309,0.0002606123,0.001060135,0.001920335,0.0004191281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003031849,0.0004079637,0.01566361,0.0021448,0.0003349202,5.873295e-7,0.4321461,0.0001002403,0.001641155,0.004274354,0.1921924,0.3507906],"study_design_scores_gemma":[0.0006171329,0.00009404536,0.03588307,0.001900163,0.0001617139,0.000002204204,0.339226,0.0001193993,0.00004239126,0.008736744,0.6127183,0.0004988298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.2263195,0.3317666,0.004066873,0.3592164,0.05054463,0.01206194,0.007650537,0.001087447,0.007286023],"genre_scores_gemma":[0.1205926,0.007226141,0.7489708,0.03791652,0.005249041,0.01283599,0.05179215,0.0002656226,0.01515116],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7449039,"threshold_uncertainty_score":0.9999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1592205438655644,"score_gpt":0.4926033053807553,"score_spread":0.3333827615151909,"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."}}