{"id":"W4223902031","doi":"10.22541/au.164914207.75121076/v1","title":"Genome Screening, Reporting and Counseling for Healthy Populations","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Ontario Institute for Cancer Research; University of Toronto; Lunenfeld-Tanenbaum Research Institute; University Health Network","funders":"Canadian Institutes of Health Research; Hospital for Sick Children; Ontario Institute for Cancer Research; McMaster University","keywords":"Genetic counseling; Pharmacogenomics; Disease; Medicine; Genome; Family medicine; Gene; Genetics; Biology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02564029,0.000758917,0.0005104012,0.002753605,0.0008909357,0.002105854,0.001415249,0.0010148,0.01274024],"category_scores_gemma":[0.04094892,0.0003499213,0.0005323417,0.001791485,0.0009485711,0.001041133,0.00275029,0.000728748,0.007266819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171684,"about_ca_system_score_gemma":0.006194663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00553842,"about_ca_topic_score_gemma":0.003220341,"domain_scores_codex":[0.9877282,0.007974454,0.0008761303,0.000939882,0.00199392,0.0004873638],"domain_scores_gemma":[0.9684626,0.01391257,0.003577012,0.00751493,0.004489523,0.002043407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005245522,0.0003861709,0.07383917,0.0006645398,0.00009868854,0.0006623933,0.003013586,0.002053456,0.004460822,0.008103186,0.1844306,0.7217628],"study_design_scores_gemma":[0.0004044514,0.000780181,0.2026774,0.001834268,0.0002184671,0.002860207,0.003353129,0.01333219,0.02460101,0.06304854,0.686528,0.0003622807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.191412,0.004443893,0.5205255,0.0506163,0.002032024,0.009426986,0.05811887,0.06016931,0.1032552],"genre_scores_gemma":[0.3757783,0.002637304,0.5694726,0.005747073,0.001208887,0.003348637,0.0266426,0.002001202,0.01316344],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02564029,"threshold_uncertainty_score":0.1356004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06125237542670937,"score_gpt":0.3444799633962101,"score_spread":0.2832275879695007,"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."}}