{"id":"W2084662594","doi":"10.1080/10407790903508129","title":"Inverse Identification of Thermal Properties of Charring Ablators","year":2010,"lang":"en","type":"article","venue":"Numerical Heat Transfer Part B Fundamentals","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Charring; Heat flux; Materials science; Mechanics; Thermal conductivity; Mass flux; Flux (metallurgy); Mass flow rate; Combustion; Pyrolysis; Thermodynamics; Inverse; Heat transfer; Chemistry; Composite material; Mathematics; Physics; Geometry","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":[0.0003665499,0.0001456231,0.0003251474,0.00006039741,0.00004858891,0.00001208921,0.0001743098,0.00008652108,0.0003488834],"category_scores_gemma":[0.00003729987,0.0001190378,0.000135706,0.0001201379,0.0002121315,0.00008176678,0.0000200364,0.0001685206,0.00001177202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001510373,"about_ca_system_score_gemma":0.00002438303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000372637,"about_ca_topic_score_gemma":0.00001079181,"domain_scores_codex":[0.9986705,0.00005763962,0.0006214838,0.000187193,0.0002620891,0.0002011232],"domain_scores_gemma":[0.9994583,0.00006641686,0.0000308519,0.0003058664,0.00005647745,0.00008212357],"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":[0.00006922383,0.0002938281,0.001697163,0.000198412,0.00004478304,5.615106e-7,0.001089421,0.00001729795,0.979983,0.01608283,0.00001456157,0.000508874],"study_design_scores_gemma":[0.000506754,0.0001434221,0.001727248,0.00009013633,0.00006470579,0.000004782484,0.0003401558,0.001351263,0.9918072,0.003574427,0.0002134873,0.00017641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969265,0.00002617396,0.001938089,0.00007990609,0.0002764275,0.000301356,0.00002841984,0.00003346802,0.0003895891],"genre_scores_gemma":[0.9994048,0.00000856017,0.0003809957,0.00002800216,0.00004123767,0.00002638177,0.000003673865,0.00002716785,0.00007913978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0125084,"threshold_uncertainty_score":0.4854219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03382433824767903,"score_gpt":0.2666696882878071,"score_spread":0.2328453500401281,"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."}}