{"id":"W4412454616","doi":"10.3390/bioengineering12070758","title":"Creating Blood Analogs to Mimic Steady-State Non-Newtonian Shear-Thinning Characteristics Under Various Thermal Conditions","year":2025,"lang":"en","type":"article","venue":"Bioengineering","topic":"Blood properties and coagulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aurora College","funders":"","keywords":"Shear thinning; Hematocrit; Newtonian fluid; Rheology; Apparent viscosity; Non-Newtonian fluid; Materials science; Chemistry; Viscosity; Blood viscosity; Biomedical engineering; Thermodynamics; Composite material; Physics; Cardiology; Medicine; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000979121,0.0001670363,0.0002478477,0.0001894549,0.0001373781,0.0000568786,0.0000715007,0.00007240506,0.00004217028],"category_scores_gemma":[0.00003867181,0.0001587175,0.00006125671,0.0002950668,0.00001821954,0.00006685156,0.00005192079,0.0001912649,0.00002143552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005830697,"about_ca_system_score_gemma":0.00007161456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001235181,"about_ca_topic_score_gemma":0.000005046095,"domain_scores_codex":[0.9990785,0.00001082141,0.0002774494,0.0002170338,0.0001231221,0.0002930692],"domain_scores_gemma":[0.9995185,0.00003235006,0.00003851425,0.0002243671,0.00007121349,0.000115055],"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":[0.0001051696,0.0002243701,0.02051475,0.0006470805,0.0006667615,0.00008808554,0.002545881,0.03183384,0.9345276,0.0008806245,0.0002456665,0.007720222],"study_design_scores_gemma":[0.001988122,0.0003828591,0.8390999,0.001607172,0.0007885689,0.00006403303,0.0004515193,0.1304804,0.02310754,0.00004997334,0.001434059,0.0005458419],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672292,0.0001475558,0.02925699,0.0009693712,0.0002723719,0.0003031649,0.00001413899,0.0001700739,0.001637079],"genre_scores_gemma":[0.9940794,0.00001038376,0.003561897,0.0007742622,0.0001371037,0.00002755984,0.00004109657,0.00003125771,0.001337012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.91142,"threshold_uncertainty_score":0.6472313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055830951584088,"score_gpt":0.2460527046941482,"score_spread":0.2354943951783073,"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."}}