{"id":"W2803704964","doi":"10.1007/s40037-018-0433-x","title":"Characterizing the literature on validity and assessment in medical education: a&amp;nbsp;bibliometric study","year":2018,"lang":"en","type":"review","venue":"Perspectives on Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Sherbrooke; McGill University Health Centre","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Medical education; Medicine; Psychology; Data science; Medical physics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.07755928,0.0009364947,0.002904221,0.1926451,0.002479811,0.01049142,0.002135029,0.001287909,0.006392917],"category_scores_gemma":[0.3427216,0.0006036519,0.00261823,0.1913446,0.00411294,0.00749394,0.005651987,0.0007438142,0.001108701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005404267,"about_ca_system_score_gemma":0.01650446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003539805,"about_ca_topic_score_gemma":0.005124888,"domain_scores_codex":[0.9024675,0.03288383,0.02916817,0.004233222,0.03008183,0.001165453],"domain_scores_gemma":[0.4741712,0.4085031,0.06641606,0.01021947,0.03874157,0.001948695],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003297193,0.0002288207,0.4084626,0.1566119,0.004595107,0.0007185853,0.01342773,0.001099173,0.001146435,0.01327196,0.01309943,0.3870086],"study_design_scores_gemma":[0.0001828042,0.0005017342,0.6615713,0.1444528,0.009229493,0.002211428,0.03464113,0.004011457,0.0024867,0.02181852,0.1186402,0.0002525384],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4816057,0.3450727,0.03630844,0.01471831,0.001060529,0.01136854,0.03684773,0.0006934003,0.0723246],"genre_scores_gemma":[0.8472214,0.08578795,0.04352783,0.001367633,0.0009362358,0.008716211,0.01080755,0.0001356615,0.001499472],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9224407,"threshold_uncertainty_score":0.4101776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07997137807854048,"score_gpt":0.4998141768635911,"score_spread":0.4198427987850507,"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."}}