{"id":"W4393306739","doi":"10.1093/genetics/iyae049","title":"Updates to the Alliance of Genome Resources central infrastructure","year":2024,"lang":"en","type":"article","venue":"Genetics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Ontario Institute for Cancer Research","funders":"U.S. National Library of Medicine; University of Southern California; Wellcome Trust; National Human Genome Research Institute; Medical Research Council; European Molecular Biology Laboratory; NYU Grossman School of Medicine; University of Oregon; Harvard University; Eunice Kennedy Shriver National Institute of Child Health and Human Development; U.S. Department of Energy; California Institute of Technology; Lawrence Berkeley National Laboratory; National Heart, Lung, and Blood Institute","keywords":"Alliance; Biology; Genome; Genetics; Computational biology; Evolutionary biology; Gene; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0381568,0.001358901,0.001253102,0.009197691,0.0030138,0.0105862,0.008099137,0.004413852,0.05929581],"category_scores_gemma":[0.0697767,0.001477931,0.001171372,0.01279633,0.001043104,0.01335271,0.008902514,0.007090276,0.06285024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005648145,"about_ca_system_score_gemma":0.01697943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018566,"about_ca_topic_score_gemma":0.0152954,"domain_scores_codex":[0.9834487,0.003862749,0.001936224,0.001897443,0.007386201,0.001468583],"domain_scores_gemma":[0.9268617,0.006817304,0.003338505,0.01968056,0.03124666,0.01205535],"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":[0.0002437603,0.0001894569,0.001307812,0.0003215059,0.00002811901,0.0001366768,0.0003673886,0.0005602736,0.002267301,0.01594658,0.8753673,0.1032637],"study_design_scores_gemma":[0.00003515138,0.00002231821,0.0005580578,0.00007011158,0.00001019059,0.00004453852,0.00004628982,0.0003669015,0.0006059302,0.001703504,0.9965047,0.00003230145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01254142,0.006071314,0.2078915,0.08373497,0.02329442,0.00362707,0.1439215,0.254095,0.2648228],"genre_scores_gemma":[0.01853902,0.00329503,0.3360768,0.01191164,0.003603397,0.002992133,0.4792111,0.03037532,0.1139955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05929581,"threshold_uncertainty_score":0.2017949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007657360943098501,"score_gpt":0.2489020071680512,"score_spread":0.2412446462249528,"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."}}