{"id":"W4380997006","doi":"10.2147/ijgm.s407683","title":"Development and Validation of an Algorithm for Thrombosis with Thrombocytopenia Syndrome (TTS) at Unusual Sites","year":2023,"lang":"en","type":"article","venue":"International Journal of General Medicine","topic":"Heparin-Induced Thrombocytopenia and Thrombosis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration; Hamilton Health Sciences Foundation","keywords":"Medicine; Algorithm; Confidence interval; Thrombosis; Food and drug administration; Internal medicine; Medical emergency","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006821147,0.0002181317,0.0007877224,0.0005268859,0.00008494173,0.00001885595,0.0002400809,0.00009523012,0.0001179031],"category_scores_gemma":[0.000120005,0.000150477,0.00007948126,0.0002821346,0.0001720198,0.0002854408,0.00009006792,0.0001508119,0.000008026933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002038752,"about_ca_system_score_gemma":0.0002211523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003763955,"about_ca_topic_score_gemma":0.00001792083,"domain_scores_codex":[0.9977804,0.00004314819,0.0008131202,0.0002485539,0.0008836329,0.0002310732],"domain_scores_gemma":[0.9980636,0.0001346711,0.0004984631,0.0001547784,0.0008943819,0.0002540869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001374448,0.0007119256,0.04387512,0.0002391163,0.004412137,0.0007564673,0.005514781,0.0001113246,0.8561119,0.0008298183,0.0022303,0.08383264],"study_design_scores_gemma":[0.01569154,0.006749489,0.4922205,0.001402997,0.0008936274,0.005559806,0.001361642,0.002623804,0.4662886,0.0004672357,0.006253601,0.0004871422],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995542,0.00006101186,0.001062519,0.00217871,0.0006051197,0.0003065162,0.00002155721,0.00002596658,0.0001965652],"genre_scores_gemma":[0.9601355,0.0001421425,0.03828907,0.0002421141,0.0006478122,0.0000138188,0.0002028219,0.00003730379,0.0002894313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4483454,"threshold_uncertainty_score":0.6136273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.064693605530143,"score_gpt":0.3556932418680416,"score_spread":0.2909996363378986,"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."}}