{"id":"W4200584130","doi":"10.1002/aet2.10720","title":"Beyond the CLAIM: A comprehensive needs assessment strategy for creating an Advanced Medical Education Research Training Program (ARMED‐MedEd)","year":2021,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Professionalization; Thematic analysis; Scholarship; Curriculum; Process (computing); Medical education; Engineering ethics; Computer science; Knowledge management; Political science; Medicine; Sociology; Engineering; Pedagogy; Qualitative research; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1294442,0.0007319681,0.000608033,0.00563,0.007477618,0.008944727,0.00455816,0.002829225,0.008660669],"category_scores_gemma":[0.140464,0.001033942,0.001141319,0.002488087,0.003173598,0.009860582,0.01764627,0.003219153,0.002083759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01261566,"about_ca_system_score_gemma":0.06192531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003310197,"about_ca_topic_score_gemma":0.006877098,"domain_scores_codex":[0.9255473,0.05539163,0.004562888,0.003252746,0.008664235,0.002581257],"domain_scores_gemma":[0.8987161,0.04980308,0.005569788,0.008808014,0.02719967,0.009903398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000256991,0.002602224,0.01405269,0.002251031,0.00007397587,0.0006283519,0.1159509,0.001809219,0.004997197,0.050388,0.02616745,0.7808219],"study_design_scores_gemma":[0.0006531663,0.004961311,0.03833496,0.006552576,0.000284491,0.001324321,0.3295363,0.03913992,0.01476304,0.1226949,0.4413356,0.0004194732],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2885802,0.0006335566,0.4965496,0.04897439,0.0007749413,0.05643379,0.001148227,0.002678617,0.1042268],"genre_scores_gemma":[0.2556031,0.0002624827,0.7139427,0.001801553,0.00004466017,0.01832474,0.0005107003,0.0001396523,0.009370397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1294442,"threshold_uncertainty_score":0.6845747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3695288204070757,"score_gpt":0.596754479443993,"score_spread":0.2272256590369172,"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."}}