{"id":"W2138335482","doi":"10.1186/1472-6963-13-454","title":"Genomic testing to determine drug response: measuring preferences of the public and patients using Discrete Choice Experiment (DCE)","year":2013,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; St. Paul's Hospital; Genome British Columbia; University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research; Genome British Columbia; Genome Canada","keywords":"Medicine; Test (biology); Context (archaeology); Nursing research; Cancer; Odds ratio; Willingness to pay; Odds; Public health; Diagnostic odds ratio; Internal medicine; Statistics; Logistic regression; Receiver operating characteristic; Mathematics; Pathology","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":[0.0009078373,0.0001109347,0.00014023,0.00008401163,0.000298571,0.0000965101,0.0003914709,0.00004809627,0.000006843708],"category_scores_gemma":[0.000307924,0.0000862807,0.00002608954,0.0002221978,0.00006717091,0.000009412042,0.000813918,0.0001039376,0.000003164525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009045136,"about_ca_system_score_gemma":0.0005400999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003415352,"about_ca_topic_score_gemma":0.001518923,"domain_scores_codex":[0.9982045,0.0003797267,0.0002968317,0.0003350241,0.0003228096,0.0004611294],"domain_scores_gemma":[0.9985777,0.0002537714,0.0001137104,0.0004132576,0.0003980071,0.0002436286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001414901,0.00006370796,0.6068859,0.0004932476,0.00001327346,1.084522e-7,0.001089808,0.0001363718,0.3855899,0.000004076204,0.00004997146,0.005532108],"study_design_scores_gemma":[0.0005338871,0.0004472201,0.9459479,0.0002322069,0.000003018696,0.000001574695,0.0009643133,0.001823747,0.04744855,0.00002715554,0.002406125,0.0001642491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974753,0.001317797,0.00002029883,0.0002090473,0.000075015,0.000837215,0.00002109762,0.000003511925,0.00004072709],"genre_scores_gemma":[0.9977085,0.00007376566,0.001761598,0.000223867,0.00009933277,0.00006972573,0.000007325206,0.0000186523,0.00003723844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.339062,"threshold_uncertainty_score":0.5163014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09576123330929934,"score_gpt":0.3757673346505512,"score_spread":0.2800061013412519,"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."}}