{"id":"W2163316063","doi":"10.1016/j.jcrc.2009.12.006","title":"The 4Ts scoring system for heparin-induced thrombocytopenia in medical-surgical intensive care unit patients","year":2010,"lang":"en","type":"article","venue":"Journal of Critical Care","topic":"Heparin-Induced Thrombocytopenia and Thrombosis","field":"Medicine","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Université Laval; Université de Montréal; University of Toronto; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Heparin-induced thrombocytopenia; Medicine; Incidence (geometry); Critically ill; Intensive care unit; Heparin; Platelet; Thrombosis; Internal medicine; Intensive care; Anesthesia; Intensive care 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":[0.0007614322,0.0003205847,0.001129776,0.0001983637,0.0003285549,0.0001127605,0.0005243077,0.0005112517,0.00006564763],"category_scores_gemma":[0.00648602,0.0002099969,0.0004123977,0.0002993823,0.000296686,0.0002354463,0.0001781548,0.002025846,0.00002016288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003432292,"about_ca_system_score_gemma":0.0008813742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005294996,"about_ca_topic_score_gemma":0.0002889351,"domain_scores_codex":[0.9963319,0.0001623987,0.001197436,0.0003385433,0.001271554,0.0006982075],"domain_scores_gemma":[0.9907179,0.001163834,0.0002183719,0.0004593466,0.006616744,0.0008237702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007063836,0.001679334,0.7387215,0.0127598,0.0008186211,0.008607204,0.02616613,0.000005260672,0.03634566,0.06900177,0.0006026998,0.09822813],"study_design_scores_gemma":[0.04219083,0.0094156,0.6562674,0.006268435,0.002289999,0.005587718,0.191965,0.0002720831,0.06176785,0.000800306,0.02137124,0.001803516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901328,0.0003582099,0.00001686941,0.002725858,0.002886337,0.0006547486,0.00001697353,0.00002921329,0.003178989],"genre_scores_gemma":[0.9984356,0.00001571056,0.0002507799,0.0003334468,0.0008534824,0.00003122916,0.00001289739,0.00005555174,0.00001130299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1657989,"threshold_uncertainty_score":0.8801407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04275128276904846,"score_gpt":0.373817390568397,"score_spread":0.3310661077993486,"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."}}