{"id":"W4317473535","doi":"","title":"Transient conducto-radiative heat transfer in a singlemonte-carlo algorithm : Handling the nonlinearity","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Radiative Heat Transfer Studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Transient (computer programming); Radiative transfer; Nonlinear system; Monte Carlo method; Heat transfer; Transient analysis; Computer science; Mechanics; Transient response; Physics; Engineering; Mathematics; Optics; Electrical engineering","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":[0.003114508,0.000590312,0.0007533087,0.0002490427,0.0002715933,0.0002589947,0.00100855,0.0003548966,0.00004267809],"category_scores_gemma":[0.0002323312,0.0005386868,0.0003290572,0.0004903546,0.0003096874,0.0001650655,0.0002108387,0.001637563,0.00002431518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003639354,"about_ca_system_score_gemma":0.0002085356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391108,"about_ca_topic_score_gemma":0.008173984,"domain_scores_codex":[0.9945628,0.002859051,0.0007401868,0.0007810007,0.0004643759,0.0005925606],"domain_scores_gemma":[0.995814,0.001755501,0.00003292653,0.001492113,0.0007669865,0.0001384409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009467638,0.002584859,0.01260296,0.002985186,0.002438891,0.0000749088,0.5289215,0.2599353,0.0123593,0.009998925,0.001634848,0.1663687],"study_design_scores_gemma":[0.002186744,0.000001752143,0.01753838,0.003186519,0.0001695113,0.00001067195,0.001120067,0.9206854,0.04411862,0.0004452133,0.009212187,0.001324961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3846975,0.0125125,0.5701561,0.007804226,0.001136026,0.002279592,0.0005567352,0.0006052491,0.02025205],"genre_scores_gemma":[0.9880956,0.002864761,0.008080535,0.00008005767,0.00004548882,0.0001969611,0.0001848028,0.0001093907,0.0003423615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6607501,"threshold_uncertainty_score":0.9997064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01782151426281644,"score_gpt":0.2204634805357552,"score_spread":0.2026419662729388,"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."}}