{"id":"W2059518550","doi":"10.1038/ejhg.2012.149","title":"Personalized medicine and access to health care: potential for inequitable access?","year":2012,"lang":"en","type":"article","venue":"European Journal of Human Genetics","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval; McGill Genome Centre; McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Personalized medicine; Health care; Precision medicine; Genetic testing; Genetic discrimination; Internet privacy; Medicine; Business; Political science; Computer science; Bioinformatics; Biology","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":[0.000709674,0.0001293778,0.0001879919,0.00009954085,0.0001616331,0.00006924022,0.000422301,0.00002461462,0.00003291908],"category_scores_gemma":[0.00006908373,0.0001143728,0.00006212378,0.000070487,0.00008762265,0.00001499936,0.0002456449,0.00007681016,0.000001559593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004957434,"about_ca_system_score_gemma":0.0001188081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001998135,"about_ca_topic_score_gemma":0.000006640011,"domain_scores_codex":[0.998854,0.0001517983,0.0003995559,0.0001515165,0.0001664362,0.0002766264],"domain_scores_gemma":[0.9989878,0.000008639049,0.0002845534,0.0001850593,0.0002792601,0.0002546789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005662298,0.0001718025,0.00806687,0.0003996741,0.0004468398,0.00001669982,0.009993081,0.001653895,0.3900277,0.0001980557,0.5441644,0.0442947],"study_design_scores_gemma":[0.005074666,0.005220206,0.03857116,0.0001474539,0.0001914088,0.0002656091,0.001433099,0.00001373958,0.03431489,0.00006623022,0.9141941,0.000507401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221634,0.04102843,0.0311654,0.003126541,0.0009836789,0.0004107919,0.00002779289,0.000006304787,0.001087611],"genre_scores_gemma":[0.9878775,0.0008978134,0.00574919,0.002396401,0.002814864,0.000003840803,0.00002711297,0.00004924247,0.0001839664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3700297,"threshold_uncertainty_score":0.4663989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05631451377799952,"score_gpt":0.3789932915894104,"score_spread":0.3226787778114109,"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."}}