{"id":"W2801788219","doi":"10.1139/tcsme-2013-0061","title":"A STUDY ON THERMAL INITIAL PROPERTIES FOR INVERSE TECHNIQUE","year":2013,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Numerical methods in inverse problems","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Inverse; Sensitivity (control systems); Thermal conduction; Thermal conductivity; Levenberg–Marquardt algorithm; Inverse problem; Stability (learning theory); Applied mathematics; Thermal; Mathematics; Materials science; Computer science; Mathematical analysis; Thermodynamics; Physics; Engineering; Artificial neural network; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004231442,0.0001552744,0.0002275584,0.00004303244,0.0002132095,0.00002072356,0.0003056515,0.0001423989,0.00003855233],"category_scores_gemma":[0.0002795845,0.0001173284,0.0005232792,0.000168646,0.00004269142,0.00007720352,0.000008288974,0.0002602478,0.000001570237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002480207,"about_ca_system_score_gemma":0.0001251073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003163516,"about_ca_topic_score_gemma":0.001911411,"domain_scores_codex":[0.9990735,0.00002713262,0.0002736066,0.0001705084,0.0001426676,0.0003126025],"domain_scores_gemma":[0.9990157,0.0003661084,0.00005499469,0.0003187079,0.00009615738,0.0001483105],"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":[0.0002349417,0.002435129,0.00001385336,0.004071092,0.004419212,0.000002156905,0.01850604,0.04925814,0.7059703,0.1877185,0.006668139,0.02070255],"study_design_scores_gemma":[0.003984394,0.002289887,0.00002336762,0.0005909395,0.0009384879,0.00001432396,0.006262946,0.2004466,0.6562934,0.1249048,0.002866586,0.001384236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02777545,0.000004616107,0.9650537,0.0007600546,0.0004250698,0.005728662,0.00007049046,0.0001152595,0.00006671275],"genre_scores_gemma":[0.6984039,3.502244e-7,0.2986189,0.0001231753,0.00003983007,0.002677382,3.878899e-7,0.00004835009,0.00008770697],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6706284,"threshold_uncertainty_score":0.4784514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08982853750213673,"score_gpt":0.3036032631132849,"score_spread":0.2137747256111482,"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."}}