{"id":"W6920536197","doi":"10.60692/j1mg9-4nn27","title":"The Global State of the Genetic Counseling Profession","year":2018,"lang":"en","type":"article","venue":"Greater South Information System","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Genetic counseling; State (computer science); Alliance; Genetic testing; Genetic data","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003770431,0.000149815,0.0001862259,0.00265932,0.002499887,0.004493397,0.0005019337,0.001239321,0.01408549],"category_scores_gemma":[0.007891675,0.0001858935,0.000178279,0.003785193,0.003629904,0.003619074,0.002937103,0.002172387,0.002011489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003357328,"about_ca_system_score_gemma":0.007327976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102488,"about_ca_topic_score_gemma":0.01224442,"domain_scores_codex":[0.9976413,0.0006316492,0.0001177428,0.0004016564,0.0007398022,0.0004677967],"domain_scores_gemma":[0.9886938,0.002719172,0.001617952,0.0006050839,0.002866989,0.003496961],"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":[0.0001644207,0.0001166031,0.1079654,0.0009204899,0.0000429214,0.0005889936,0.03722722,0.0005803735,0.002279838,0.2343674,0.1265625,0.4891836],"study_design_scores_gemma":[0.00001095906,0.0001057832,0.158031,0.001166383,0.00002088234,0.0009944027,0.03334821,0.0003769043,0.0004524943,0.02674299,0.7786797,0.00007024425],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2922229,0.04910244,0.003774333,0.3018139,0.002189902,0.00005943164,0.001849905,0.0002898755,0.3486973],"genre_scores_gemma":[0.931327,0.029521,0.00260951,0.01484897,0.0009322747,0.00005107958,0.0007551367,0.0001070822,0.01984785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01408549,"threshold_uncertainty_score":0.04712069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304448362923953,"score_gpt":0.239918505680241,"score_spread":0.2268740220510015,"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."}}