{"id":"W4387931364","doi":"10.1002/jgc4.1800","title":"Disability education and implications for genetic counselor training","year":2023,"lang":"en","type":"article","venue":"Journal of Genetic Counseling","topic":"Family and Disability Support Research","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Society of Genetic Counselors","keywords":"Genetic counseling; Public health; Training (meteorology); Human genetics; Medicine; Counselor education; Psychology; Clinical psychology; Genetic testing; Medical education; Family medicine; Genetics; Nursing; Higher education; Biology; Internal medicine; Political science; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001228938,0.0001072912,0.0002163302,0.0001145376,0.0001694585,0.00005259055,0.0001838841,0.00008314985,0.0001242131],"category_scores_gemma":[0.0002902915,0.0001006375,0.0001099853,0.0002918057,0.0001680466,0.00005756511,0.00001430419,0.000158348,0.00001957217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005315192,"about_ca_system_score_gemma":0.0003426315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003584105,"about_ca_topic_score_gemma":0.00002329533,"domain_scores_codex":[0.9985696,0.0000881291,0.0006007548,0.0002297541,0.0001976012,0.0003141465],"domain_scores_gemma":[0.9982585,0.0007437001,0.0001826921,0.0002737964,0.0003701701,0.0001711324],"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":[0.0001458283,0.000410212,0.2598315,0.0001139884,0.00009263878,0.000002989431,0.01388667,0.0001817927,0.002559552,0.0004484664,0.01195427,0.7103721],"study_design_scores_gemma":[0.0005151194,0.0002440329,0.9540932,0.00003072844,0.00005893791,0.0001902865,0.01496828,0.0002809725,0.00001164526,0.01465462,0.01482596,0.000126234],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898975,0.002530228,0.00404772,0.002211191,0.0007058849,0.0003361413,0.00001966924,0.00002325977,0.0002283612],"genre_scores_gemma":[0.9935889,0.0003578994,0.005053305,0.0001926438,0.0004716302,0.00007390397,0.000006873873,0.00001995017,0.0002349095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7102459,"threshold_uncertainty_score":0.4103878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08303410509512113,"score_gpt":0.4088781888219122,"score_spread":0.3258440837267911,"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."}}