{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001456073,0.00007430479,0.0002769947,0.00003451165,0.00008724795,0.00000257998,0.00002665005,0.00003810664,0.0001443052],"category_scores_gemma":[0.000006728371,0.00006276947,0.00003802565,0.0000776469,0.0001100753,0.00003896691,0.00003871986,0.0001427851,9.119472e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007400964,"about_ca_system_score_gemma":0.0000391212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006642287,"about_ca_topic_score_gemma":0.00001553369,"domain_scores_codex":[0.9993703,0.00004247467,0.0001877439,0.000163659,0.0001512111,0.00008464566],"domain_scores_gemma":[0.9997671,0.00003058458,0.00002720802,0.00009580837,0.00001565862,0.00006368253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001379692,0.0007401771,0.9125757,0.000103632,0.0002508434,0.0004012682,0.001200585,0.000001376384,0.01524553,0.00008872741,0.0002329117,0.06777952],"study_design_scores_gemma":[0.009143348,0.001951924,0.9759053,0.00003271879,0.0002394452,0.0001868579,0.0005028319,0.0001248767,0.001198513,0.0000460197,0.01055795,0.0001102175],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972712,0.001780949,0.00001709049,0.0002328235,0.0001095297,0.0002415846,0.00006210517,0.00001810706,0.0002666146],"genre_scores_gemma":[0.9980257,0.001621096,0.0001144345,0.00007856425,0.00001363524,0.000007443201,0.00003552766,0.000009516101,0.00009410431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06766929,"threshold_uncertainty_score":0.2559665,"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."}}