{"id":"W4317541938","doi":"","title":"Monte carlo : une approche statistique de la simulation numérique et de l’analyse des transferts radiatifs","year":2017,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Radiative Heat Transfer Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Monte Carlo method; Computer science; Humanities; Mathematics; Statistics; Philosophy","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":[0.009419811,0.0008628709,0.0009409349,0.0002912842,0.0009635604,0.000819271,0.001418158,0.0007919853,0.00006880407],"category_scores_gemma":[0.003016592,0.001038674,0.0004525399,0.0004223236,0.001004834,0.0004395567,0.0003021288,0.001675601,0.00002618978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403244,"about_ca_system_score_gemma":0.0009349125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02254476,"about_ca_topic_score_gemma":0.03534095,"domain_scores_codex":[0.9834912,0.0131559,0.0009249126,0.001022052,0.000469663,0.0009363073],"domain_scores_gemma":[0.988572,0.006892737,0.0002776934,0.002235252,0.001552818,0.0004694793],"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":[0.0000433945,0.0005611524,0.01548588,0.001302327,0.0009480978,0.00004851203,0.2820888,0.5900399,0.003226209,0.06867813,0.0003710079,0.0372066],"study_design_scores_gemma":[0.001491172,0.000001973661,0.145042,0.003835812,0.0003236365,0.00002762935,0.001364611,0.7890839,0.02580723,0.01886431,0.0127384,0.001419338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.163238,0.004679856,0.7747105,0.005804846,0.00017373,0.0008061729,0.0003275567,0.0003840245,0.0498753],"genre_scores_gemma":[0.8671175,0.008352893,0.1205362,0.00005145355,0.00005008395,0.0002873683,0.0001655455,0.0001740711,0.003264868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7038795,"threshold_uncertainty_score":0.9992064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858080952725336,"score_gpt":0.2743712408055262,"score_spread":0.2557904312782728,"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."}}