{"id":"W3154276208","doi":"10.3390/en14082254","title":"A Fibonacci Wavelet Method for Solving Dual-Phase-Lag Heat Transfer Model in Multi-Layer Skin Tissue during Hyperthermia Treatment","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Thermoelastic and Magnetoelastic Phenomena","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Wavelet; Fibonacci number; Algebraic equation; Applied mathematics; Mathematics; Bioheat transfer; Collocation (remote sensing); Algebraic number; Heat transfer; Thermal conduction; Mathematical analysis; Algorithm; Computer science; Materials science; Thermodynamics; Physics; Artificial intelligence; Combinatorics; Nonlinear system","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"],"consensus_categories":[],"category_scores_codex":[0.00007070398,0.0003118016,0.0004007758,0.000104316,0.00007522039,0.00003720658,0.00008353676,0.0001063039,0.000110975],"category_scores_gemma":[0.00002314834,0.0002934316,0.0001046303,0.0001287673,0.00001729226,0.0001240241,0.00002557599,0.00009563127,0.000007717422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897954,"about_ca_system_score_gemma":0.00005601328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006188654,"about_ca_topic_score_gemma":0.0003150592,"domain_scores_codex":[0.9987488,0.0000260536,0.0003115582,0.000329766,0.0001074897,0.0004762664],"domain_scores_gemma":[0.9994485,0.0001853158,0.000006825193,0.0002401422,0.00002943166,0.00008974461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003422243,0.0001064319,0.000001800956,0.0000637761,0.00005732366,0.00003559102,0.001792288,0.5801352,0.4063906,0.0003083698,0.00002300621,0.01105139],"study_design_scores_gemma":[0.003527449,0.00007790273,0.0001291495,0.00004384952,0.00004887723,0.00002217138,0.0003088113,0.6861972,0.3081293,0.0001492119,0.001053063,0.0003130613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6572513,0.001082168,0.3405735,0.00004436336,0.0001759304,0.0001938104,0.00006452433,0.0001808791,0.0004334939],"genre_scores_gemma":[0.933933,0.0001642688,0.06358635,0.00002704662,0.0001100294,0.0002578563,0.00003180103,0.00009456482,0.001795056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2769872,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721369892653039,"score_gpt":0.2789569404908467,"score_spread":0.2517432415643163,"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."}}