{"id":"W2106909021","doi":"10.2217/pme.09.61","title":"Conference Scene: Direct-to-Consumer Genetic Testing in the Age of Personalized Medicine","year":2009,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic testing; Personal genomics; Personalized medicine; Test (biology); Medicine; Internet privacy; Genomics; Business; Marketing; Computer science; Genome; Genetics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001806907,0.0003176166,0.001004588,0.00038876,0.000101768,0.000007882903,0.000292277,0.0002340775,0.0008452576],"category_scores_gemma":[0.002055232,0.0001755364,0.00009740792,0.001377902,0.003065913,0.00003570358,0.00002626793,0.0005660615,0.00001187412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007206559,"about_ca_system_score_gemma":0.0002450993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005412597,"about_ca_topic_score_gemma":0.00004082429,"domain_scores_codex":[0.9965671,0.0002315948,0.0008151775,0.0004917691,0.001433132,0.0004611746],"domain_scores_gemma":[0.9980053,0.0006222112,0.000205594,0.0004623824,0.0003930258,0.0003114621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002807048,0.001283387,0.01679003,0.001392626,0.0003198104,0.001456825,0.09406915,0.00001283586,0.5130907,0.02444149,0.02064484,0.3236912],"study_design_scores_gemma":[0.03306306,0.006775806,0.766848,0.01143885,0.001286315,0.0008259538,0.008062719,0.004405123,0.0006490248,0.009174694,0.1565853,0.0008851412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3019398,0.02219934,0.003325433,0.5973043,0.000724111,0.003272143,0.00001947354,0.0002067235,0.0710086],"genre_scores_gemma":[0.9794435,0.0005972009,0.00317876,0.0146915,0.0006064319,0.00002834357,0.00007108785,0.00002347026,0.001359726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7500579,"threshold_uncertainty_score":0.9996472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08424345717466815,"score_gpt":0.351442516873432,"score_spread":0.2671990596987639,"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."}}