{"id":"W4319767232","doi":"10.1016/j.jtha.2023.01.037","title":"Impact of SERPINC1 mutation on thrombotic phenotype in children with congenital antithrombin deficiency—first analysis of the International Society on Thrombosis and Haemostasis pediatric antithrombin deficiency database and biorepository","year":2023,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto; McMaster University; McMaster Children's Hospital","funders":"International Society on Thrombosis and Haemostasis","keywords":"Antithrombin; Medicine; Thrombosis; Phenotype; Mutation; Internal medicine; Genetics; Heparin; Biology; Gene","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":[0.001017152,0.0002447235,0.0005546287,0.004200349,0.0005053739,0.001009024,0.0006481848,0.0004324624,0.002833502],"category_scores_gemma":[0.005675201,0.0001951188,0.0004675453,0.005131854,0.0002215249,0.0004182489,0.000662699,0.0005009396,0.0004838857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005141018,"about_ca_system_score_gemma":0.0007266118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01184448,"about_ca_topic_score_gemma":0.01161199,"domain_scores_codex":[0.9983846,0.0002899769,0.0003429177,0.0003739499,0.0004657671,0.0001428597],"domain_scores_gemma":[0.99453,0.001976768,0.001711559,0.0003814443,0.0008687686,0.000531335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001309468,0.00002280798,0.9945413,0.00002656254,0.00006168083,0.0004291317,0.00007423091,0.00004832274,0.0002808159,0.00006704631,0.001228136,0.003089031],"study_design_scores_gemma":[0.00001644299,0.00003521993,0.995812,0.00004139665,0.00008979387,0.001572682,0.000166408,0.0002239972,0.0003920876,0.00004186282,0.00160111,0.000006824512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973504,0.001062166,0.0001117791,0.0001773593,0.00001748595,0.00001770939,0.02368651,0.00001475103,0.00140813],"genre_scores_gemma":[0.9794251,0.0006862046,0.0003119247,0.0001154053,0.00002099017,0.00002875544,0.01904545,0.0000186649,0.0003473579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01184448,"threshold_uncertainty_score":0.02355111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04183894294762976,"score_gpt":0.3170048534509089,"score_spread":0.2751659105032792,"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."}}