{"id":"W2065053937","doi":"10.1140/epjp/i2012-12089-7","title":"Monitoring of temperature distribution in living biological tissues via blood perfusion","year":2012,"lang":"en","type":"article","venue":"The European Physical Journal Plus","topic":"Thermoelastic and Magnetoelastic Phenomena","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais; University of Ottawa","funders":"","keywords":"Bioheat transfer; Perfusion; Exponential function; Biological system; Process (computing); Distribution (mathematics); Materials science; Biomedical engineering; Heat transfer; Thermodynamics; Mechanics; Physics; Mathematics; Computer science; Mathematical analysis; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002419801,0.0003344214,0.0003260172,0.0002129958,0.0002638446,0.0004002118,0.0003730091,0.0004170794,0.0008192026],"category_scores_gemma":[0.000351751,0.0001791191,0.0001459262,0.0002675047,0.0006371241,0.0006480594,0.0003340326,0.0007078096,0.0001596199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003271031,"about_ca_system_score_gemma":0.0003072341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004633034,"about_ca_topic_score_gemma":0.0005349449,"domain_scores_codex":[0.9998686,0.00002402136,0.000003599665,0.00004510961,0.00003214263,0.00002645292],"domain_scores_gemma":[0.9998541,0.00005738793,0.00003820753,0.00001168773,0.000017948,0.00002054185],"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":[0.0004125973,0.0000111764,0.0004019628,0.00003408525,0.000003566614,0.00004069243,0.00004338127,0.00008106242,0.9953246,0.0000825186,0.00004409831,0.003520276],"study_design_scores_gemma":[0.00004126395,0.0007748326,0.0101744,0.000009828997,0.00004450401,0.0003892625,0.00005565045,0.003275671,0.984024,0.0001741733,0.001020827,0.00001561371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678695,0.002143509,0.02762372,0.0002267003,0.00008784256,0.00004520105,0.0001883869,0.0001366052,0.001678483],"genre_scores_gemma":[0.9888992,0.001194082,0.008220256,0.0001192758,0.0000643301,0.00005957216,0.00007617993,0.00003628767,0.001330765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008192026,"threshold_uncertainty_score":0.002740502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080631749309855,"score_gpt":0.2104684862690956,"score_spread":0.199662168775997,"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."}}