{"id":"W2950942253","doi":"10.21815/jde.019.111","title":"Do Factors from Admissions and Dental School Predict Performance on National Board Exams? A Multilevel Modeling Study","year":2019,"lang":"en","type":"article","venue":"Journal of Dental Education","topic":"Medical Education and Admissions","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Toronto; Western University","funders":"","keywords":"Multilevel model; Cohort; Predictive validity; Medicine; Educational measurement; Competence (human resources); Psychology; Family medicine; Demography; Clinical psychology; Curriculum; Statistics; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002340032,0.0001368431,0.0002324827,0.0002617946,0.0001002048,0.00004362465,0.0000980476,0.0000724652,0.0048436],"category_scores_gemma":[0.00187388,0.00009913485,0.00007785574,0.0001089493,0.0000144208,0.0002715436,0.00002650674,0.0004351653,0.00008175845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00025371,"about_ca_system_score_gemma":0.002719362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003765248,"about_ca_topic_score_gemma":0.000001731548,"domain_scores_codex":[0.9983318,0.00004846997,0.0004677085,0.0001845931,0.0008435633,0.000123899],"domain_scores_gemma":[0.99799,0.00009480298,0.0002280834,0.0001270089,0.0002260137,0.001334155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003506064,0.004482288,0.9762198,0.00004088378,0.0001168968,0.000003063135,0.002766918,0.0001199104,0.003867283,0.00001843409,0.005687194,0.006326744],"study_design_scores_gemma":[0.003217358,0.001181394,0.9380454,0.001085273,0.0001431535,0.0001245272,0.04266443,0.01176934,0.0004532734,0.00004997354,0.001092603,0.0001732166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964995,0.0001437485,0.00001747916,0.0004751226,0.001630737,0.0003817368,0.000008693057,0.00001034089,0.0008326824],"genre_scores_gemma":[0.9964087,0.00005183077,0.0003860942,0.000724701,0.0005267252,0.000006733432,0.00002733183,0.00001507941,0.001852821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03989752,"threshold_uncertainty_score":0.9960661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04023742179476201,"score_gpt":0.3603804050936746,"score_spread":0.3201429832989126,"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."}}