{"id":"W4409765253","doi":"10.1093/gigascience/giaf038","title":"Overture: an open-source genomics data platform","year":2025,"lang":"en","type":"article","venue":"GigaScience","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Computer science; Interoperability; Data science; Genomics; Data management; Reuse; Big data; Data sharing; World Wide Web; Database; Data mining; Genome; Engineering","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":["scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.01268593,0.0001355993,0.0002045971,0.0003232393,0.0007305985,0.00461836,0.02132321,0.00004016386,0.0001864009],"category_scores_gemma":[0.003548575,0.0001014287,0.0000262802,0.002730183,0.0002968058,0.002860948,0.01423519,0.0001266251,0.0004092884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005779721,"about_ca_system_score_gemma":0.0003104613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001988677,"about_ca_topic_score_gemma":0.0002158511,"domain_scores_codex":[0.9957324,0.00007939146,0.0005231308,0.001896833,0.001354169,0.0004141098],"domain_scores_gemma":[0.9923074,0.0005446703,0.0001635248,0.006670339,0.0001456771,0.0001683418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000151466,0.000108584,0.001262801,0.000002314568,0.000005932376,0.000005087657,0.0003275099,0.000977206,0.0005649537,0.02016192,0.3633561,0.6132124],"study_design_scores_gemma":[0.0001807042,0.00002822905,0.006363827,0.00001120926,0.000005651155,0.000003072628,0.0006817842,0.1642517,0.0001187977,0.01841132,0.8098051,0.0001386691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.242658,0.0002147125,0.6189994,0.004682853,0.006702335,0.0007887742,0.0002060317,0.0002635038,0.1254844],"genre_scores_gemma":[0.9012659,0.00001318011,0.02824729,0.00685579,0.0001413946,0.000008494639,0.0001130697,0.0000131223,0.06334172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.658608,"threshold_uncertainty_score":0.996415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3207349943837839,"score_gpt":0.4543667571292983,"score_spread":0.1336317627455144,"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."}}