{"id":"W3157127218","doi":"10.38028/esi.2021.21.1.005","title":"NUMERICAL ESTIMATION OF CRITICAL CONDITIONS IN THERMAL EXPLOSION PROBLEM FOR A MEDIUM WITH FLUCTUATIONS OF REACTIVITY","year":2021,"lang":"ru","type":"article","venue":"Информационные и математические технологии в науке и управлении","topic":"Material Science and Thermodynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Siberian Branch, Russian Academy of Sciences; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Inflection point; Thermodynamics; Reactivity (psychology); Dispersion (optics); Thermal; Critical point (mathematics); Function (biology); Distribution function; Distribution (mathematics); Physics; Mechanics; Mathematics; Mathematical analysis; Quantum mechanics; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000687565,0.0005539751,0.001077507,0.0003657867,0.0001848061,0.00008240973,0.0004185922,0.0004156119,0.0007221748],"category_scores_gemma":[0.0006678351,0.0005449806,0.0002447653,0.001337928,0.0005387152,0.0008557337,0.0001205719,0.0004431009,0.00001985618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002612227,"about_ca_system_score_gemma":0.0007970575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002919026,"about_ca_topic_score_gemma":0.0002931345,"domain_scores_codex":[0.9959753,0.0002340348,0.001342557,0.0007600257,0.0008040472,0.0008840984],"domain_scores_gemma":[0.9970933,0.0008681128,0.0003654918,0.000759497,0.0006382472,0.0002753912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005615496,0.003180333,0.001046067,0.003949361,0.000223228,0.00006980186,0.004623602,0.2146423,0.7024554,0.06102396,0.0001301961,0.008094158],"study_design_scores_gemma":[0.004375544,0.001321363,0.03670754,0.002970189,0.0005896403,0.0001002928,0.001865453,0.5127982,0.3987246,0.03873376,0.0001891884,0.001624165],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917947,0.0003562211,0.07006657,0.001350889,0.0008561844,0.001517358,0.000837471,0.0001507249,0.006917567],"genre_scores_gemma":[0.9890692,0.00004722075,0.009941573,0.00003684825,0.0001530403,0.0002864145,0.000308036,0.000100739,0.00005691321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3037308,"threshold_uncertainty_score":0.9997002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241808227991657,"score_gpt":0.2691964242278125,"score_spread":0.2567783419478959,"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."}}