{"id":"W4375851708","doi":"10.20944/preprints202305.0472.v1","title":"Progress toward Health System Readiness for Genome-Based Testing in Canada","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia; Quebec - Clinical Research Organization in Cancer; Provincial Health Services Authority; CancerCare Manitoba; William Osler Health System; University of Alberta; University of Toronto; Ottawa Public Health; University of Ottawa","funders":"Pfizer Canada; AstraZeneca Canada; Amgen Canada; Amgen; Pfizer; AstraZeneca; Eli Lilly and Company; Eli Lilly Canada; GlaxoSmithKline","keywords":"Health care; Context (archaeology); Onboarding; Test (biology); Set (abstract data type); Psychology; Knowledge management; Business; Public relations; Computer science; Political science; Social psychology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.01191855,0.0003145237,0.0005022122,0.005292212,0.006432874,0.00761498,0.00188692,0.0009465083,0.005310344],"category_scores_gemma":[0.03366604,0.0003808128,0.0009124851,0.01093451,0.002312173,0.001881481,0.003078109,0.00132414,0.0002178234],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.191709,"about_ca_system_score_gemma":0.5010872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957504,"about_ca_topic_score_gemma":0.9970342,"domain_scores_codex":[0.9897168,0.001374616,0.000737973,0.0008049328,0.004407115,0.00295848],"domain_scores_gemma":[0.945815,0.01119811,0.004725769,0.0007582996,0.03011628,0.007386512],"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":[0.0003700799,0.0002500417,0.6902476,0.005553938,0.0004506347,0.001011741,0.04501962,0.003012733,0.001653324,0.03477887,0.03229387,0.1853576],"study_design_scores_gemma":[0.00005920565,0.0002042467,0.8647033,0.003513237,0.0003789355,0.000164007,0.06032155,0.002869189,0.001637272,0.002519049,0.06342067,0.0002092878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8231044,0.0198987,0.003462685,0.0549328,0.000271001,0.001394647,0.02045358,0.0002114339,0.07627071],"genre_scores_gemma":[0.9871882,0.004107209,0.003225982,0.001379865,0.00001921249,0.0001538691,0.001707396,0.00001668857,0.002201543],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.808291,"threshold_uncertainty_score":0.937503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1681047972956722,"score_gpt":0.3675297208596789,"score_spread":0.1994249235640067,"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."}}