{"id":"W1994804166","doi":"10.1007/s12013-007-0038-1","title":"Noninvasive Method for Simultaneously Measuring the Thermophysical Properties and Blood Perfusion in Cylindrically Shaped Living Tissues","year":2007,"lang":"en","type":"article","venue":"Cell Biochemistry and Biophysics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Measure (data warehouse); Cylinder; Thermal conductivity; Imaging phantom; Biomedical engineering; Perfusion; Crossover; Bioheat transfer; Materials science; Sensitivity (control systems); Biological system; Heat capacity; Thermal; Mathematics; Computer science; Thermodynamics; Physics; Medicine; Geometry; Optics; Artificial intelligence; Radiology; Composite material; Engineering","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":[0.0004518004,0.0002217143,0.0002980084,0.00003691425,0.0001495694,0.0000245664,0.0001004764,0.0001509491,0.000004258385],"category_scores_gemma":[0.0001914791,0.0001401488,0.00007440049,0.0001845271,0.0002443751,0.00002964843,0.00007580339,0.0002963356,6.277327e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001755366,"about_ca_system_score_gemma":0.00003980637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001254413,"about_ca_topic_score_gemma":7.620683e-7,"domain_scores_codex":[0.9988626,0.00002783961,0.0002470307,0.0003498821,0.0002054363,0.0003072664],"domain_scores_gemma":[0.9989162,0.0005488356,0.00008293753,0.0002210372,0.0001204099,0.0001105551],"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":[0.0002157309,0.0002140262,0.0003739562,0.0004571771,0.00003285565,0.0000621135,0.001551524,0.000001745825,0.9855773,0.00003002006,0.000002056527,0.0114815],"study_design_scores_gemma":[0.0009579562,0.0003220662,0.0006894343,0.0005062119,0.0001890213,0.0001030989,0.001461878,0.002297226,0.993115,0.0001221317,0.00003960271,0.0001963582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958376,0.001418881,0.000800981,0.0001775068,0.00003371631,0.0004596517,0.000004321875,0.00003331995,0.001234036],"genre_scores_gemma":[0.9957385,0.0001685887,0.00316542,0.0002256059,0.0004384544,0.00001796113,0.000007481331,0.00002507913,0.000212879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01128515,"threshold_uncertainty_score":0.5715102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624494706250036,"score_gpt":0.2483840938809814,"score_spread":0.2321391468184811,"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."}}