{"id":"W1965503064","doi":"10.1097/gim.0b013e31820c056e","title":"A grand challenge: Providing benefits of clinical genetics to those in need","year":2011,"lang":"en","type":"article","venue":"Genetics in Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research; CHDI Foundation","keywords":"Risk analysis (engineering); Genetic testing; Disease; Computer science; Business; Medicine; Data science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009855225,0.0001782867,0.0003847516,0.0002028455,0.00001873253,0.000002570395,0.0003554692,0.000239975,0.0000350295],"category_scores_gemma":[0.0004074505,0.0001697854,0.00005139943,0.0003269388,0.0001824647,0.000001771237,0.0001795336,0.0001792464,0.000003755237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002941757,"about_ca_system_score_gemma":0.0001728285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005396907,"about_ca_topic_score_gemma":0.0008484736,"domain_scores_codex":[0.998026,0.0001138886,0.0008728973,0.0004669783,0.0002235331,0.0002966615],"domain_scores_gemma":[0.9989856,0.00003931907,0.0001496044,0.0005627758,0.0001372734,0.0001254085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001232101,0.001103172,0.5103331,0.0002932618,0.0001783438,0.0000365305,0.01550718,0.005548617,0.1136798,0.0005721396,0.003787201,0.3477286],"study_design_scores_gemma":[0.01200872,0.007343628,0.5990204,0.0009189562,0.0001415712,0.00002247493,0.002837345,0.000889092,0.3388827,0.002032461,0.0347597,0.001142973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98423,0.0109436,0.0006362859,0.0004148629,0.0005217341,0.0004634104,0.000008542122,0.000005615338,0.002775894],"genre_scores_gemma":[0.9801863,0.005926813,0.01289249,0.000372633,0.0004375233,0.00005564342,0.00001735545,0.00003328145,0.00007796005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3465856,"threshold_uncertainty_score":0.6923646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1253019413715959,"score_gpt":0.3921501163567946,"score_spread":0.2668481749851987,"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."}}