{"id":"W4306166007","doi":"10.1111/trf.17144","title":"Clinical and laboratory predictors of fetal and neonatal alloimmune thrombocytopenia","year":2022,"lang":"en","type":"article","venue":"Transfusion","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; McMaster University; University of Toronto","funders":"Canadian Blood Services; Health Canada; Government of Ontario","keywords":"Neonatal alloimmune thrombocytopenia; Medicine; Pregnancy; Obstetrics; Fetus; Retrospective cohort study; Pediatrics; Internal medicine","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":[0.0006320782,0.0002483307,0.0002374722,0.0005662787,0.0002141661,0.0004449339,0.0002718235,0.0003338203,0.001052662],"category_scores_gemma":[0.003211173,0.0001709521,0.0002461929,0.0006350884,0.0002212554,0.0002309826,0.0002459557,0.0004425923,0.0001105108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002915157,"about_ca_system_score_gemma":0.0003796555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003873418,"about_ca_topic_score_gemma":0.002285252,"domain_scores_codex":[0.9994389,0.0001633693,0.00007585425,0.0001151506,0.0001027077,0.0001038748],"domain_scores_gemma":[0.9977054,0.0005872421,0.001134042,0.000101994,0.0001768545,0.0002945275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002264186,0.000005937317,0.9995185,0.000001495961,0.000007807083,0.00005506463,0.000005392462,0.00002625069,0.00004071813,0.000003238495,0.00001970356,0.000293375],"study_design_scores_gemma":[0.000002985714,0.00004293453,0.9987407,0.000003121208,0.00001051947,0.0006266637,0.00002980277,0.0004350363,0.00006147454,0.00001046698,0.00003481517,0.000001518221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994932,0.0001354526,0.00006421062,0.00001748887,0.000001849641,0.000003079042,0.0001564217,0.00000230026,0.0001258749],"genre_scores_gemma":[0.9997072,0.00003243191,0.00004839849,0.000006614509,0.000004045721,0.000003589298,0.0001750611,5.067055e-7,0.00002215166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003873418,"threshold_uncertainty_score":0.007701695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315684924675715,"score_gpt":0.2761378723687353,"score_spread":0.2629810231219782,"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."}}