{"id":"W2790681095","doi":"10.1503/cmaj.180076","title":"Whole genome sequencing in the clinic: empowerment or too much information?","year":2018,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Genome; Personal genomics; Empowerment; Key (lock); Whole genome sequencing; Patient Empowerment; Computational biology; World Wide Web; Data science; Biology; Genetics; Computer science; Political science; Gene; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008085041,0.000534381,0.0009775064,0.0008525301,0.002590983,0.002808199,0.002387811,0.02535039,0.01291031],"category_scores_gemma":[0.04526893,0.0005953631,0.0007368005,0.0009104538,0.004488511,0.007052938,0.001930751,0.03181785,0.008093148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003135754,"about_ca_system_score_gemma":0.003370126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006039711,"about_ca_topic_score_gemma":0.01068067,"domain_scores_codex":[0.9920501,0.003547799,0.0009138046,0.0008987747,0.001853145,0.0007363313],"domain_scores_gemma":[0.9594005,0.02814564,0.001455401,0.001453742,0.004485723,0.005059099],"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":[0.00006117095,0.00002739214,0.001613495,0.000094799,0.00001283199,0.002493786,0.0001804569,0.00005147241,0.0002181314,0.004621594,0.9604234,0.03020142],"study_design_scores_gemma":[0.0001734789,0.0001664775,0.003018789,0.001409676,0.00004922295,0.01871431,0.001650987,0.0007689616,0.0004084368,0.05433397,0.9191605,0.0001451533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002361399,0.001375005,0.000189334,0.9916934,0.004991938,0.000004513077,0.00002607622,0.00001891197,0.001464676],"genre_scores_gemma":[0.005735859,0.003711345,0.0006860333,0.9407069,0.04670849,0.00002005675,0.00005620292,0.00003694732,0.00233821],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02535039,"threshold_uncertainty_score":0.04318929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009409045642363832,"score_gpt":0.2467163149208887,"score_spread":0.2373072692785249,"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."}}