{"id":"W1972070319","doi":"10.1016/j.thromres.2011.05.003","title":"Combined use of the high heparin step and optical density to optimize diagnostic sensitivity and specificity of an anti-PF4/heparin enzyme-immunoassay","year":2011,"lang":"en","type":"article","venue":"Thrombosis Research","topic":"Heparin-Induced Thrombocytopenia and Thrombosis","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Heparin; Immunoassay; Antibody; Platelet factor 4; Heparin-induced thrombocytopenia; Chemistry; Platelet; Optical density; Enzyme; Immunology; Biochemistry; Medicine","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":[0.004360703,0.001624234,0.0008768435,0.001476195,0.0005521246,0.001390793,0.0007544937,0.001236983,0.00155174],"category_scores_gemma":[0.005701262,0.001463437,0.0005940036,0.000653016,0.0008778316,0.0009785262,0.0008417343,0.001570058,0.0008084475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004391404,"about_ca_system_score_gemma":0.0007887753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004247206,"about_ca_topic_score_gemma":0.001498271,"domain_scores_codex":[0.9961713,0.001826779,0.0002690621,0.0004573908,0.001055386,0.0002200554],"domain_scores_gemma":[0.9961948,0.002573766,0.0001919348,0.0003096331,0.000594001,0.0001357925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004025299,0.0003117792,0.004592713,0.0001419597,0.0000925252,0.000085854,0.00006210657,0.0004065995,0.9655846,0.0006483888,0.000342777,0.02732818],"study_design_scores_gemma":[0.00006410044,0.0005488056,0.004923297,0.00001314104,0.0001488062,0.000940017,0.0000225456,0.006459727,0.9849553,0.0003902783,0.001491077,0.00004286972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4677633,0.006219661,0.5162624,0.001471731,0.0006259867,0.0006097567,0.0001399895,0.002097163,0.004810061],"genre_scores_gemma":[0.5316666,0.001454616,0.4629077,0.0009829806,0.0002418886,0.000282982,0.0001964318,0.0002267138,0.002039985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004360703,"threshold_uncertainty_score":0.02306187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1658719531257932,"score_gpt":0.3535123442093173,"score_spread":0.1876403910835241,"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."}}