{"id":"W2560538887","doi":"10.1097/acm.0000000000001506","title":"Using In-Training Evaluation Report (ITER) Qualitative Comments to Assess Medical Students and Residents: A Systematic Review","year":2016,"lang":"en","type":"review","venue":"Academic Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; The Wilson Centre; University of Ottawa; University of British Columbia","funders":"","keywords":"Narrative; Context (archaeology); Inclusion (mineral); Medical education; MEDLINE; PsycINFO; Psychology; Generalization; Inference; Applied psychology; Medicine; Computer science; Social psychology; Political science; Artificial intelligence; Linguistics","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","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04725526,0.000637538,0.005279455,0.001238889,0.00009174729,0.00001520324,0.0007820241,0.0009256066,0.0004386046],"category_scores_gemma":[0.1158373,0.0004005258,0.0001249278,0.001815517,0.0002866487,0.0001675619,0.0003291919,0.002110183,0.00005613362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677546,"about_ca_system_score_gemma":0.001808416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004331233,"about_ca_topic_score_gemma":0.000001851341,"domain_scores_codex":[0.9837154,0.002681753,0.005433772,0.0009923811,0.0066053,0.0005713601],"domain_scores_gemma":[0.9938555,0.00174344,0.002168332,0.0009516804,0.0007721958,0.0005087901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000009745747,0.00003806121,0.00009814624,0.8711615,0.0004078915,0.000231999,0.008896643,1.184162e-8,9.090364e-7,0.0001049084,0.01124988,0.1078003],"study_design_scores_gemma":[0.001178635,0.0001054353,0.00003035507,0.9530398,0.005401535,0.002489476,0.003037289,0.000019833,6.859597e-8,0.0001527318,0.03422739,0.0003174946],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002983936,0.9811333,0.0007408455,0.007011323,0.0009720678,0.009545709,0.000005069153,0.00004161066,0.0002516671],"genre_scores_gemma":[0.00006920871,0.9842361,0.0004056805,0.01204495,0.000848735,0.001510073,0.000339008,0.00008717627,0.0004591097],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1074828,"threshold_uncertainty_score":0.9998447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5670848252031078,"score_gpt":0.6747590852616425,"score_spread":0.1076742600585348,"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."}}