{"id":"W4399864349","doi":"10.1111/medu.15457","title":"Not in the file: How competency committees work with undocumented contributions","year":2024,"lang":"en","type":"article","venue":"Medical Education","topic":"Innovative Education and Learning Practices","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Documentation; Competence (human resources); Context (archaeology); Narrative; Medical education; Odds; Psychology; Public relations; Social psychology; Medicine; Computer science; Political science; History","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":[0.04379622,0.0008786015,0.0006246244,0.003523,0.03078429,0.02153348,0.004719399,0.00455076,0.007459048],"category_scores_gemma":[0.1579454,0.0008776167,0.0007937446,0.002294011,0.02483203,0.01460896,0.01889627,0.005756348,0.00187385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009648143,"about_ca_system_score_gemma":0.01831675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00966368,"about_ca_topic_score_gemma":0.01150093,"domain_scores_codex":[0.8603687,0.1175377,0.002254673,0.003808667,0.009762045,0.006268329],"domain_scores_gemma":[0.8821823,0.07671605,0.01312019,0.007206711,0.008563214,0.01221154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004826527,0.00006692424,0.006889993,0.0001661663,0.00001384932,0.00307054,0.9381765,0.0003160666,0.0005037441,0.01809203,0.004435223,0.02822072],"study_design_scores_gemma":[0.00001542806,0.0001016377,0.003344527,0.0007409204,0.00002306698,0.001712232,0.8786863,0.00128195,0.0007740241,0.009578814,0.103669,0.0000722089],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8258752,0.001709498,0.03061068,0.02550772,0.0009361233,0.0003494533,0.00006624503,0.0003981648,0.114547],"genre_scores_gemma":[0.9841925,0.00035172,0.004579349,0.0007419002,0.000120546,0.000107734,0.00003360889,0.0001574377,0.009715352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04379622,"threshold_uncertainty_score":0.2316194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526647654591254,"score_gpt":0.408693579079802,"score_spread":0.3834271025338895,"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."}}