{"id":"W2111753974","doi":"10.2217/14622416.7.2.219","title":"Pharmacogenomic Data Sample Collection and Storage: Ethical Issues and Policy Approaches","year":2006,"lang":"en","type":"review","venue":"Pharmacogenomics","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Biobank; Pharmacogenomics; Mainstream; Sample (material); Data collection; Perspective (graphical); Population; Ethical issues; Data science; Medicine; Engineering ethics; Political science; Computer science; Sociology; Bioinformatics; Pharmacology; Environmental health; Engineering; Biology; Social 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","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.002872345,0.001596922,0.002876861,0.0009400828,0.0009351812,0.0002689821,0.001675343,0.002036567,0.0003306255],"category_scores_gemma":[0.0002636787,0.001589744,0.0003773699,0.0008630312,0.0008682996,0.0002715725,0.002342858,0.004924757,0.0001120702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003484152,"about_ca_system_score_gemma":0.001155523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004773476,"about_ca_topic_score_gemma":0.00002361759,"domain_scores_codex":[0.9921954,0.002129249,0.001660363,0.002228796,0.0004002239,0.001385971],"domain_scores_gemma":[0.9952303,0.00171437,0.0008861208,0.001016394,0.0001099553,0.001042895],"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":[0.0001367001,0.0003025703,0.00004127211,0.005741795,0.001456656,0.00005804802,0.0002463023,0.00005682567,0.0003691356,0.0006731885,0.02122887,0.9696887],"study_design_scores_gemma":[0.002132421,0.00004217166,0.0000058441,0.0001926385,0.006635747,0.0003969361,0.00002034264,0.008464239,0.0001814172,0.0004491915,0.9800408,0.001438179],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006322999,0.9855291,0.0001697094,0.0008893773,0.001992651,0.002345008,0.007213683,0.0002317074,0.0009964966],"genre_scores_gemma":[0.0003295771,0.9874457,0.001521774,0.00176006,0.004700976,0.0002681311,0.002769214,0.0003396901,0.0008649411],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9682505,"threshold_uncertainty_score":0.9996778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4607023734111636,"score_gpt":0.5289519496593159,"score_spread":0.06824957624815231,"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."}}