{"id":"W4384558150","doi":"10.3390/bioengineering10070837","title":"Numerical Modeling and Simulation of Non-Invasive Acupuncture Therapy Utilizing Near-Infrared Light-Emitting Diode","year":2023,"lang":"en","type":"article","venue":"Bioengineering","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McMaster University; University of Prince Edward Island","funders":"CMC Microsystems","keywords":"Light-emitting diode; Materials science; Biomedical engineering; Photothermal therapy; Finite element method; Imaging phantom; Diode; Bioheat transfer; Infrared; Optoelectronics; Heat transfer; Optics; Mechanics; Physics; Nanotechnology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000131452,0.000147103,0.0002643521,0.00009408176,0.00006840128,0.00001270193,0.0000537229,0.00008836977,0.000008996433],"category_scores_gemma":[0.0001579785,0.0001090373,0.00005661124,0.0004178371,0.00002228338,0.00006314393,0.00003088294,0.0001416463,0.000005556418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002356273,"about_ca_system_score_gemma":0.00003367144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005643296,"about_ca_topic_score_gemma":1.164053e-7,"domain_scores_codex":[0.9991966,0.000005821074,0.0002443423,0.000199053,0.0001691435,0.0001850487],"domain_scores_gemma":[0.999471,0.0001078544,0.00004552052,0.0002151704,0.00006642423,0.00009400236],"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":[0.00007880793,0.00003817527,0.003926444,0.0005053481,0.0001165642,0.00003670347,0.001544651,0.7300872,0.2524778,0.00002703872,0.0001450568,0.01101615],"study_design_scores_gemma":[0.0007024228,0.00005518397,0.00272101,0.0002502835,0.00003652893,0.00001885871,0.0001931799,0.9658561,0.02927706,0.00001816715,0.0007757092,0.00009548652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404873,0.0004330645,0.05795593,0.000232203,0.0001299565,0.0003050193,0.000003042508,0.0001864333,0.0002670109],"genre_scores_gemma":[0.99669,0.0002000003,0.002693523,0.00005246309,0.0001819633,0.00002205492,0.00003216787,0.00002544108,0.0001024165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2357689,"threshold_uncertainty_score":0.4446412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569598470761747,"score_gpt":0.2974818991306066,"score_spread":0.2717859144229892,"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."}}