{"id":"W2158395869","doi":"10.1111/j.1399-0004.2009.01291.x","title":"Direct‐to‐consumer genetic testing: good, bad or benign?","year":2009,"lang":"en","type":"article","venue":"Clinical Genetics","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Hospital for Sick Children; University of Toronto; University of Victoria; University of Alberta","funders":"","keywords":"Genetic testing; Government (linguistics); Business; Variety (cybernetics); Marketing; Test (biology); Quality (philosophy); Genetics; Biology; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000346039,0.0002711903,0.0003075792,0.00005496405,0.0001109882,0.00004954294,0.0005055327,0.0003455634,0.00007531542],"category_scores_gemma":[0.001413646,0.0002475652,0.0001573165,0.0003354794,0.0001530061,0.000002003052,0.0001655075,0.0001852065,0.0001838787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003289571,"about_ca_system_score_gemma":0.0004342535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000320259,"about_ca_topic_score_gemma":0.00003039389,"domain_scores_codex":[0.9976096,0.0001417283,0.0007506104,0.0008216431,0.0002192814,0.000457139],"domain_scores_gemma":[0.9980822,0.0001602649,0.0001384491,0.001000163,0.0002530185,0.0003659677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004632462,0.0008471791,0.09011251,0.00002294983,0.0002642709,0.00005174332,0.0001110379,0.004614702,0.1549821,0.0000425174,0.07817537,0.6703124],"study_design_scores_gemma":[0.001350003,0.003726389,0.2682167,0.00003331572,0.000148387,0.00004877654,0.00003294158,0.0003865648,0.06097756,0.0002841684,0.6639518,0.0008433824],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804703,0.002896205,0.003117977,0.0008492616,0.001056707,0.0005723496,0.00004347747,0.00007178784,0.01092196],"genre_scores_gemma":[0.9069524,0.0006804614,0.0820239,0.005269174,0.001333698,0.00003266186,0.00003430279,0.00005481625,0.003618533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.669469,"threshold_uncertainty_score":0.9999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06783561350788873,"score_gpt":0.3854585749365506,"score_spread":0.3176229614286618,"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."}}