{"id":"W4383710805","doi":"10.1002/jgc4.1737","title":"A novel online genomic counseling and variant interpretation certificate: Learning design, learning analytics, and evaluation","year":2023,"lang":"en","type":"article","venue":"Journal of Genetic Counseling","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Faculty of Medicine, University of British Columbia; National Society of Genetic Counselors","keywords":"Certificate; Genetic counseling; Medical education; Curriculum; Analytics; Asynchronous learning; Medicine; Psychology; Computer science; Pedagogy; Data science; Teaching method; Synchronous learning; Cooperative learning","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":[],"consensus_categories":[],"category_scores_codex":[0.02815384,0.001454508,0.001010943,0.001944719,0.001530938,0.004300423,0.004681347,0.001980802,0.008052343],"category_scores_gemma":[0.05265522,0.0007445134,0.001167799,0.0009329537,0.002113217,0.002500253,0.004976951,0.002733981,0.002613551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005668535,"about_ca_system_score_gemma":0.008713238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003104665,"about_ca_topic_score_gemma":0.003980716,"domain_scores_codex":[0.9776483,0.01270114,0.001211363,0.002341768,0.004068921,0.002028611],"domain_scores_gemma":[0.947929,0.02434301,0.002121805,0.005431048,0.01033145,0.009843599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007218766,0.05568087,0.02784439,0.00292628,0.0002229588,0.0009474282,0.01003264,0.02561504,0.01352946,0.005591306,0.01702547,0.8333653],"study_design_scores_gemma":[0.02836473,0.2477188,0.123201,0.00297311,0.001508495,0.001709209,0.02448361,0.1869408,0.1280513,0.02283128,0.2307344,0.001483396],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7667217,0.0002962563,0.1444065,0.001699271,0.0004461786,0.06290372,0.001972758,0.005012638,0.01654093],"genre_scores_gemma":[0.4977021,0.0002580147,0.4490198,0.001079502,0.0001238659,0.03926517,0.002332273,0.0004730178,0.009746211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02815384,"threshold_uncertainty_score":0.1488935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05767568327725384,"score_gpt":0.3222531235766949,"score_spread":0.2645774402994411,"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."}}