{"id":"W4303423400","doi":"10.1002/cpz1.534","title":"Genome Reporting for Healthy Populations—Pipeline for Genomic Screening from the GENCOV COVID‐19 Study","year":2022,"lang":"en","type":"article","venue":"Current Protocols","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Hospital for Sick Children; University Health Network; University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Genotyping; Context (archaeology); Disease; Medicine; Personalized medicine; Bioinformatics; Genetics; Biology; Internal medicine; Genotype; Gene","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":[0.001172897,0.0001658538,0.0002108783,0.00002997315,0.000919717,0.00006576358,0.0003669439,0.00003683492,0.00003235156],"category_scores_gemma":[0.001091514,0.0001515786,0.0001693017,0.00007975939,0.00002473061,0.000003120025,0.0003569532,0.0001265348,8.215173e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118479,"about_ca_system_score_gemma":0.0004614011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008954664,"about_ca_topic_score_gemma":0.000130132,"domain_scores_codex":[0.9981112,0.00008836066,0.0008234454,0.0005255538,0.0001471598,0.0003042935],"domain_scores_gemma":[0.9982991,0.0001159925,0.0008128093,0.0005448884,0.0001009934,0.000126234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01142027,0.004983264,0.460939,0.0008648991,0.0006049018,0.00001400997,0.004178873,0.0962669,0.1501653,0.001640183,0.1013712,0.1675511],"study_design_scores_gemma":[0.002919979,0.001115679,0.008453014,0.0000081168,0.00005084573,0.00000453013,0.0005782094,0.001463603,0.0002669385,0.0008492288,0.9840134,0.0002764031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.3960037,0.002285684,0.3085409,0.001317741,0.0008262744,0.2877237,0.0032374,0.00004367577,0.00002096327],"genre_scores_gemma":[0.3725063,0.00001739943,0.004975783,0.001268272,0.002097058,0.615588,0.003381577,0.00007256143,0.00009303399],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.8826422,"threshold_uncertainty_score":0.7073812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1982293026120375,"score_gpt":0.4468443088788523,"score_spread":0.2486150062668148,"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."}}