{"id":"W3213738135","doi":"10.1016/j.xgen.2021.100032","title":"International federation of genomic medicine databases using GA4GH standards","year":2021,"lang":"en","type":"article","venue":"Cell Genomics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; Ontario Institute for Cancer Research; University of Toronto; University Health Network; McGill University; McGill Genome Centre","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; National Human Genome Research Institute; Wellcome Trust; HORIZON EUROPE Framework Programme; Canadian Institute for Advanced Research; Academy of Finland; Horizon 2020 Framework Programme; National Institutes of Health; Canadian Institutes of Health Research; Swiss Institute of Bioinformatics; Genome Canada; Medical Research Council","keywords":"Mandate; Data sharing; Genomic medicine; Shared resource; Intellectual property; Resource (disambiguation); Precision medicine; Data science; Database; Computer science; World Wide Web; Knowledge management; Business; Political science; Medicine; Computer security; Computational biology","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":[0.0001427922,0.0001022664,0.0001337494,0.00003104005,0.00005510088,0.0000180113,0.0001217474,0.00005288318,0.0001719824],"category_scores_gemma":[0.0001046499,0.000112892,0.00005105933,0.00003572772,0.00006346378,0.000002980736,0.0001609659,0.00004405074,0.000002236919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009415625,"about_ca_system_score_gemma":0.0004737927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005110223,"about_ca_topic_score_gemma":0.00006078023,"domain_scores_codex":[0.9992459,0.00001904142,0.0002468023,0.0002439057,0.0001241382,0.0001201426],"domain_scores_gemma":[0.9992481,0.00001575693,0.0001170853,0.0002868299,0.0002810795,0.00005108391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004424433,0.00003512788,0.0006476154,0.00001757537,0.00003264458,0.000004953933,0.00005531142,0.002033781,0.9937245,0.0001999841,0.002488743,0.0007155547],"study_design_scores_gemma":[0.0006352289,0.00006108097,0.0002903593,0.0000108102,0.00003271456,0.00002238488,0.0001969841,0.0009666128,0.669194,0.00004194085,0.3284177,0.0001301897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644114,0.002843081,0.02474764,0.0001049142,0.0007577095,0.00007867541,0.0005008522,0.000003686732,0.006552037],"genre_scores_gemma":[0.9796302,0.005000487,0.01229496,0.0003790437,0.001003011,0.000002846572,0.001289804,0.00003192665,0.0003677237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.325929,"threshold_uncertainty_score":0.4603601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126502526986253,"score_gpt":0.2911566321683272,"score_spread":0.2698916068984647,"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."}}