{"id":"W2978737261","doi":"10.1055/s-0037-1613982","title":"Inter-assay and Instrument Variability of Anti-Xa – Results","year":2000,"lang":"en","type":"letter","venue":"Thrombosis and Haemostasis","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Computational biology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01486489,0.0003612514,0.0009819155,0.0004346025,0.0002348994,0.0004467694,0.0005905319,0.0004672472,0.001592916],"category_scores_gemma":[0.002104973,0.0002604149,0.0001729436,0.0005924662,0.0005229302,0.0002617281,0.0002171602,0.0004950598,0.00004311249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006397411,"about_ca_system_score_gemma":0.0001249422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002230509,"about_ca_topic_score_gemma":0.00004218674,"domain_scores_codex":[0.993117,0.001124908,0.001506565,0.001291973,0.002585622,0.0003739856],"domain_scores_gemma":[0.9957754,0.001687427,0.0007320326,0.001180952,0.0005169128,0.0001072492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004869478,0.00005352843,0.002985801,0.00004137909,0.000080823,0.000001630426,0.0007453939,0.000002189804,0.0001169895,0.00003373666,0.7964506,0.1994393],"study_design_scores_gemma":[0.001484558,0.0001975239,0.02748377,0.0002397543,0.0002902448,0.000004747795,0.0002863131,0.0006568299,0.001069053,0.01190522,0.9558321,0.0005498363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4312066,0.000293587,0.0003413199,0.547025,0.001696797,0.001172195,0.00120468,0.00005756134,0.0170022],"genre_scores_gemma":[0.9078113,0.001408676,0.001903288,0.08315685,0.0009975927,0.00004478324,0.0005725004,0.00006185473,0.004043162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4766046,"threshold_uncertainty_score":0.9999848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.323490933275657,"score_gpt":0.4025784972383254,"score_spread":0.07908756396266842,"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."}}