{"id":"W3179293288","doi":"10.1111/jth.15459","title":"GoldVariants, a resource for sharing rare genetic variants detected in bleeding, thrombotic, and platelet disorders: Communication from the ISTH SSC Subcommittee on Genomics in Thrombosis and Hemostasis","year":2021,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Lawrence College; Queen's University","funders":"International Society on Thrombosis and Haemostasis; European Hematology Association","keywords":"Blood Platelet Disorders; Platelet disorder; Bioinformatics; Medicine; Genomics; Computational biology; Genetic variants; Hemostasis; Gene; Biology; Genetics; Platelet; Genome; Platelet aggregation; Internal medicine","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.009225696,0.001663462,0.00263805,0.01284218,0.001313487,0.004944822,0.003563427,0.003901394,0.05950383],"category_scores_gemma":[0.06229568,0.001209874,0.001175831,0.008083664,0.0007915522,0.005262305,0.01020524,0.003780368,0.02715925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000796968,"about_ca_system_score_gemma":0.004511594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00561257,"about_ca_topic_score_gemma":0.009811809,"domain_scores_codex":[0.9948161,0.001513869,0.001328703,0.0007590011,0.001152598,0.0004297103],"domain_scores_gemma":[0.9508793,0.02423771,0.003706536,0.008565576,0.005484727,0.007126057],"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":[0.0007416962,0.00004860617,0.003548963,0.0007867059,0.0001899297,0.0004602509,0.0003120883,0.0002822896,0.001277249,0.002821102,0.914441,0.07509011],"study_design_scores_gemma":[0.0006044589,0.00008929844,0.01058272,0.001180926,0.0002791784,0.001809953,0.0002477458,0.001686017,0.001312164,0.01110114,0.9709095,0.0001968107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01954683,0.02610755,0.0648187,0.06221111,0.01582675,0.001118705,0.6706616,0.08888234,0.0508264],"genre_scores_gemma":[0.05585559,0.01562526,0.106019,0.02770174,0.009940403,0.001880977,0.7231612,0.03188225,0.02793366],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9964366,"threshold_uncertainty_score":0.1990601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0476949158862553,"score_gpt":0.3022606572073628,"score_spread":0.2545657413211075,"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."}}