{"id":"W2062361071","doi":"10.1002/bmb.20422","title":"The evolving field of medical education research","year":2010,"lang":"en","type":"article","venue":"Biochemistry and Molecular Biology Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University","funders":"","keywords":"Field (mathematics); Scope (computer science); Engineering ethics; Discipline; Work (physics); Educational research; Interdisciplinarity; Sociology; Management science; Psychology; Computer science; Social science; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001152641,0.00006258854,0.00007982017,0.00007076591,0.0001583885,0.00001334511,0.0001513501,0.0003293072,0.0001239267],"category_scores_gemma":[0.009051038,0.0000470745,0.00002354816,0.0002586358,0.0004072237,0.00001651617,0.00004656373,0.0005541348,0.00000274566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002339501,"about_ca_system_score_gemma":0.002950153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006384376,"about_ca_topic_score_gemma":0.000002550519,"domain_scores_codex":[0.9991654,0.00004717597,0.0002109293,0.0001814332,0.0002538118,0.0001412562],"domain_scores_gemma":[0.9988177,0.0001133052,0.00006512689,0.0003379986,0.0005966934,0.00006919187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001843598,0.0003293563,0.004817036,0.0001001539,0.00001639524,2.230429e-7,0.00009435839,2.639384e-9,0.6717749,0.02504666,0.03307242,0.2647301],"study_design_scores_gemma":[0.0002640314,0.0001379397,0.004440484,0.000197462,0.0000325604,0.0001519585,0.001817024,0.00006945338,0.8856089,0.006863324,0.1002988,0.0001180855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498821,0.001185095,0.0001879128,0.04337902,0.0009531713,0.000162574,3.588805e-7,0.00000946035,0.004240245],"genre_scores_gemma":[0.9950556,0.0001273521,0.001892664,0.001904929,0.0004018577,0.00007409231,0.00007520273,0.000006090811,0.0004622412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.264612,"threshold_uncertainty_score":0.9992961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052392583928261,"score_gpt":0.428701622968059,"score_spread":0.4181776971287764,"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."}}