{"id":"W2470146711","doi":"10.1182/blood-2015-12-688267","title":"A high-throughput sequencing test for diagnosing inherited bleeding, thrombotic, and platelet disorders","year":2016,"lang":"en","type":"article","venue":"Blood","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Toronto; SickKids Foundation; Hospital for Sick Children; Queen's University; Health Sciences Centre","funders":"National Heart, Lung, and Blood Institute; NIHR BioResource; European Commission; Medical Research Council; British Society for Haematology; National Institute for Health and Care Research; Universitatea Sapientia; British Heart Foundation; Wellcome Trust; NHS Blood and Transplant; Bristol-Myers Squibb","keywords":"Platelet disorder; Platelet; Medicine; Etiology; Blood Platelet Disorders; Genetic testing; DNA sequencing; Gene; Internal medicine; Bioinformatics; Genetics; Biology; Platelet aggregation","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":[0.0008572053,0.0006120539,0.0005257294,0.00137219,0.0003700774,0.0006995662,0.0003672314,0.0009635689,0.002541766],"category_scores_gemma":[0.002317975,0.0003022167,0.0006228725,0.0008049887,0.0002893238,0.000297588,0.0006038262,0.0006130697,0.001133977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003255736,"about_ca_system_score_gemma":0.000485672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173679,"about_ca_topic_score_gemma":0.002360868,"domain_scores_codex":[0.999065,0.0002156624,0.000058164,0.0002712253,0.0003107524,0.00007933535],"domain_scores_gemma":[0.9989003,0.0005303026,0.0001979702,0.00007383164,0.0001643422,0.0001332198],"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":[0.001303754,0.000376552,0.1280441,0.0005061866,0.0005164797,0.002457182,0.0005577402,0.0075997,0.7340295,0.001888874,0.006081134,0.1166389],"study_design_scores_gemma":[0.0003419872,0.003093252,0.4119757,0.0003790735,0.001118655,0.0126104,0.000594797,0.1037263,0.419883,0.003457879,0.04258617,0.0002328586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8739193,0.002875187,0.1064172,0.0006484016,0.0002292759,0.0005025394,0.007858341,0.001534971,0.006014825],"genre_scores_gemma":[0.8532062,0.001064524,0.1356389,0.000679187,0.0000958923,0.0003145861,0.005931677,0.000164073,0.002904912],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002541766,"threshold_uncertainty_score":0.008503079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728382452657655,"score_gpt":0.2542568578318436,"score_spread":0.2369730333052671,"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."}}