{"id":"W2803704964","doi":"10.1007/s40037-018-0433-x","title":"Characterizing the literature on validity and assessment in medical education: a 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","bibliometrics","research_integrity","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.005455651,0.0007046805,0.001507595,0.01347999,0.0003378391,0.0002258534,0.0007033058,0.001036884,0.002059159],"category_scores_gemma":[0.03369626,0.0004580483,0.0002461113,0.02807149,0.0005574859,0.0001831736,0.0001528144,0.004958794,0.0001521185],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001903604,"about_ca_system_score_gemma":0.0215528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006213789,"about_ca_topic_score_gemma":0.00001827593,"domain_scores_codex":[0.9917783,0.001246261,0.001420399,0.001383379,0.003666204,0.0005055123],"domain_scores_gemma":[0.9953207,0.0009730053,0.0006933007,0.00141852,0.001005337,0.0005891362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003283087,0.01229824,0.0004554756,0.002981901,0.0001106658,0.00001057533,0.00885776,4.904834e-9,4.85802e-8,0.001696779,0.02383469,0.949721],"study_design_scores_gemma":[0.0007045004,0.0009015945,0.01619,0.0397818,0.0004586627,0.0003555774,0.01486641,0.00001362487,1.108519e-7,0.0001497638,0.9261229,0.0004550541],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02132492,0.9285096,0.00002238514,0.0334918,0.005928211,0.004624571,0.00001002259,0.0001053764,0.005983131],"genre_scores_gemma":[0.005092333,0.9766278,0.0005159763,0.007964481,0.006280953,0.001851666,0.0006785947,0.00009724496,0.0008909148],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.949266,"threshold_uncertainty_score":0.9997872,"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."}}