{"id":"W2128732583","doi":"10.1186/1756-0500-5-615","title":"CooVar: Co-occurring variant analyzer","year":2012,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Annotation; Computer science; Genome project; Coding (social sciences); Computational biology; Genome; Exon; Human genome; Reference genome; Data mining; Gene; Genetics; Biology; Artificial intelligence","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":[0.0008700411,0.00009816384,0.00009265821,0.00008299796,0.0001742565,0.00005224486,0.0002248828,0.00008740561,0.0001267003],"category_scores_gemma":[0.000648485,0.00008426854,0.00008529356,0.0001194878,0.0001042293,0.000005117846,0.0001847266,0.0001154948,0.0001439552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001495005,"about_ca_system_score_gemma":0.0001375526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007031829,"about_ca_topic_score_gemma":0.00002182924,"domain_scores_codex":[0.9986646,0.0001539357,0.0001235866,0.0002328952,0.0002494311,0.0005755942],"domain_scores_gemma":[0.9991168,0.00008930606,0.00002406365,0.0003780232,0.0001353595,0.0002564526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002409918,0.0004909917,0.4666162,0.0001058576,0.0001438981,0.00002816257,0.000156451,0.00009844569,0.5072083,0.002180401,0.01991289,0.002817393],"study_design_scores_gemma":[0.001168115,0.0003779415,0.2215858,0.00003956279,0.0000372513,0.00009455148,0.0004104999,0.0003004928,0.3006437,0.0004435763,0.4741797,0.0007188654],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992165,0.002866931,0.001292916,0.00005009226,0.0001188028,0.000166956,0.00005552284,0.00001078821,0.003273009],"genre_scores_gemma":[0.9978443,0.0001086834,0.0007791625,0.00008105395,0.0007171903,0.0000242433,0.0001004684,0.00001974299,0.0003251495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4542668,"threshold_uncertainty_score":0.3436371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1422339778169353,"score_gpt":0.4273276566758897,"score_spread":0.2850936788589544,"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."}}