{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03252781,0.0009634165,0.001139504,0.008162508,0.002309602,0.01186227,0.00582516,0.003704492,0.02349266],"category_scores_gemma":[0.07213342,0.00101414,0.001670049,0.01038473,0.002010999,0.008033716,0.01110998,0.004521531,0.02593205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003457652,"about_ca_system_score_gemma":0.01239451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053821,"about_ca_topic_score_gemma":0.006837506,"domain_scores_codex":[0.9785906,0.007918517,0.004701229,0.002188761,0.005273117,0.001327632],"domain_scores_gemma":[0.9287403,0.01268926,0.00338524,0.03609134,0.01650883,0.002585093],"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":[0.0003609932,0.0001309482,0.004045096,0.0006152378,0.0001385622,0.0004261955,0.0008516654,0.00514012,0.003312816,0.2265708,0.4502587,0.3081489],"study_design_scores_gemma":[0.00006062241,0.00004367909,0.001799434,0.0004372486,0.00003582195,0.0005016908,0.0002375812,0.01132391,0.003672852,0.08252487,0.899261,0.0001013205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003042836,0.00113242,0.8260961,0.0169279,0.001783802,0.00171674,0.02447922,0.04894992,0.075871],"genre_scores_gemma":[0.03244427,0.001132443,0.862974,0.005367628,0.0005496448,0.002032255,0.07287118,0.004034909,0.01859365],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03252781,"threshold_uncertainty_score":0.1720256,"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."}}