{"id":"W2316407337","doi":"10.1111/trf.12808","title":"Hyperviscosity","year":2014,"lang":"en","type":"article","venue":"Transfusion","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Hyperviscosity; Content (measure theory); Medicine; Computer science; Internal medicine; Mathematics; Blood viscosity","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002295244,0.0006339677,0.0004240549,0.0008404876,0.0007585822,0.0009807191,0.0004044788,0.001116103,0.5126961],"category_scores_gemma":[0.002283827,0.0001843404,0.0004429712,0.0005518976,0.000242014,0.0007566892,0.0006968298,0.001633515,0.06403219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003607523,"about_ca_system_score_gemma":0.0005120143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00542169,"about_ca_topic_score_gemma":0.003689526,"domain_scores_codex":[0.9998938,0.00001940024,0.000007486054,0.00001360125,0.00004147518,0.00002424612],"domain_scores_gemma":[0.9996274,0.0001776893,0.00002944125,0.0000297254,0.00004989485,0.00008582918],"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":[0.0005200676,0.00009133265,0.0008413842,0.0003489563,0.00001467953,0.00506191,0.00007851524,0.0002517453,0.001386532,0.00186796,0.8286287,0.1609081],"study_design_scores_gemma":[0.0002573146,0.0002612534,0.007441224,0.001264001,0.00003809029,0.02313284,0.0003110442,0.001624696,0.002251881,0.005020011,0.9583354,0.00006226201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03111161,0.01629999,0.02959224,0.03675549,0.017257,0.001881394,0.05770454,0.008123726,0.801274],"genre_scores_gemma":[0.208609,0.01809714,0.02238884,0.01467065,0.008659225,0.001338715,0.0269439,0.002389115,0.6969033],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5126961,"threshold_uncertainty_score":0.6950799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436511890055816,"score_gpt":0.2754342639837781,"score_spread":0.25106914508322,"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."}}