{"id":"W6920830733","doi":"10.6084/m9.figshare.22735539","title":"Additional file 1 of HostSeq: a Canadian whole genome sequencing and clinical data resource","year":2023,"lang":"en","type":"article","venue":"Open MIND","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Women's College Hospital; Queen's University; Ottawa Hospital; University Health Network; BC Children's Hospital; University of British Columbia; Alberta Children's Hospital; Jewish General Hospital; Canada's Michael Smith Genome Sciences Centre; University of Waterloo; Lunenfeld-Tanenbaum Research Institute; University of Calgary; University of Ottawa; Simon Fraser University; McGill University; SickKids Foundation; University of Toronto; Hospital for Sick Children","funders":"","keywords":"Table (database); Population; Whole genome sequencing; Genetic genealogy; Genome; Missing data","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000305465,0.00005438198,0.00009077638,0.00003552856,0.00005919634,0.00003191387,0.0004569956,0.00008238036,0.1793654],"category_scores_gemma":[0.0005628885,0.00005250685,0.00001937375,0.00009372725,0.0001548958,0.000003447029,0.0007050066,0.00006412451,0.0003347881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007971837,"about_ca_system_score_gemma":0.0006393224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661833,"about_ca_topic_score_gemma":0.01827816,"domain_scores_codex":[0.9992218,0.00004448953,0.0001483199,0.0003150822,0.00008989026,0.0001804122],"domain_scores_gemma":[0.9992135,0.0001054379,0.00003495466,0.0004524687,0.00003846208,0.0001552363],"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":[0.00001031118,0.000003925335,0.00006085782,0.000001774465,0.00002337494,0.000009564581,0.00001405791,0.000002219328,0.001964928,3.562657e-7,0.9737859,0.02412275],"study_design_scores_gemma":[0.0001184275,0.00009447727,0.00472078,0.00001603263,0.000003703798,0.000008601731,0.0001794122,0.0001921431,0.0002554954,0.000007293153,0.9943388,0.00006480261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1046549,0.00006539765,0.000002229172,0.0003196245,0.00001963103,0.0002173213,0.8684775,6.167905e-7,0.0262428],"genre_scores_gemma":[0.02520438,0.00005541078,0.008125789,0.0001874173,0.000307437,0.00003634972,0.9194313,0.00002345191,0.04662846],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1790306,"threshold_uncertainty_score":0.9996357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060143536835975,"score_gpt":0.3703263669172896,"score_spread":0.2643120132336921,"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."}}