{"id":"W1993633690","doi":"10.1063/1.3106662","title":"Reconstruction of radial thermal conductivity depth profile in case hardened steel rods","year":2009,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Thermal conductivity; Cylinder; Materials science; Rod; Thermal; Thermal conductivity measurement; Thermal conduction; Optics; Conductivity; Composite material; Work (physics); Geometry; Chemistry; Physics; Thermodynamics","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":[0.0001612996,0.000104549,0.0002470465,0.00008143027,0.00001734158,0.000008364595,0.00007532997,0.00007090098,0.00001269248],"category_scores_gemma":[0.000002582337,0.00009813326,0.00008719551,0.0001774231,0.00003495988,0.0001211221,0.000004164942,0.0002795937,2.168466e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003120735,"about_ca_system_score_gemma":0.00002336182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004428858,"about_ca_topic_score_gemma":0.000002731191,"domain_scores_codex":[0.9994063,0.0000153812,0.0002978092,0.00005992336,0.0001050344,0.0001154845],"domain_scores_gemma":[0.9996378,0.00002900005,0.0001558378,0.00009973743,0.00003861688,0.00003901818],"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":[0.0001921621,0.0001115749,0.0001468267,0.00003928193,0.00005443375,0.00007303541,0.0006917545,0.04658232,0.7805418,0.0004458224,0.00008349814,0.1710375],"study_design_scores_gemma":[0.001035745,0.0002230037,0.006899445,0.0000709652,0.00005968962,0.000622294,0.0002662621,0.005501939,0.9778636,0.007184021,0.00004516432,0.0002278322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934752,0.00004256989,0.00272722,0.000002578834,0.0001526464,0.0001239593,0.00002241072,0.00003547496,0.003417937],"genre_scores_gemma":[0.9966066,0.00001458942,0.003146315,0.000007428438,0.0002088454,0.000002510756,8.709956e-7,0.00001137571,0.00000142533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1973219,"threshold_uncertainty_score":0.4001758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163222382957666,"score_gpt":0.2202621089605963,"score_spread":0.2086298851310197,"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."}}