{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003332471,0.0001697823,0.0002405182,0.0002685034,0.0001842267,0.000130923,0.0001576894,0.0001540194,0.000009380834],"category_scores_gemma":[0.001280418,0.0001536806,0.00006864262,0.0001999381,0.0001206634,0.00001230121,0.00008336197,0.0003576008,0.000004435281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003733277,"about_ca_system_score_gemma":0.0002711443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009485124,"about_ca_topic_score_gemma":0.00001056726,"domain_scores_codex":[0.9979349,0.0001753463,0.00073203,0.0002425655,0.0006055437,0.0003096433],"domain_scores_gemma":[0.9984282,0.0001433163,0.0003985598,0.0001231229,0.0007184478,0.0001883962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000285489,0.00005396266,0.001224926,0.0001102176,0.0001873506,0.00001135326,0.002547169,0.1223766,0.7293383,0.000001543712,0.0001812479,0.1436818],"study_design_scores_gemma":[0.001255771,0.0009240268,0.0102799,0.0001415119,0.000167012,0.0002722712,0.002918719,0.9783651,0.002344941,0.0001222905,0.002966991,0.0002414807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7933329,0.002833189,0.2032639,0.0002260289,0.0001579865,0.0001640905,0.000003336558,0.000009115271,0.000009532287],"genre_scores_gemma":[0.970085,0.01607708,0.01327528,0.00007013876,0.0003185305,0.000003163385,0.00004417471,0.00002587355,0.0001007837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8559884,"threshold_uncertainty_score":0.6266913,"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."}}