{"id":"W2084663068","doi":"10.1007/s11090-004-2279-8","title":"A Robust and Efficient Method for the Computation of Equilibrium Composition in Gaseous Mixtures","year":2004,"lang":"en","type":"article","venue":"Plasma Chemistry and Plasma Processing","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Compute Canada","funders":"","keywords":"Computation; Combustion; Computer science; Composition (language); Yield (engineering); Basis (linear algebra); Chemical equilibrium; Quality (philosophy); Process engineering; Computational science; Algorithm; Mathematics; Chemistry; Thermodynamics; Engineering; Physical chemistry; 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":[0.0003508244,0.0001164033,0.0001736581,0.00001777788,0.0000890662,0.00004458562,0.00005919581,0.00007843655,0.000001088784],"category_scores_gemma":[0.00009830137,0.00009095031,0.00002483035,0.00007584596,0.00008224395,0.00002915992,0.0000311903,0.0001050806,5.315575e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001882799,"about_ca_system_score_gemma":0.00003345142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004995111,"about_ca_topic_score_gemma":0.000002779813,"domain_scores_codex":[0.9993461,0.00001685052,0.0002296521,0.0001764351,0.00009185653,0.0001391231],"domain_scores_gemma":[0.9991043,0.0006055932,0.0001425956,0.00006376638,0.00004994493,0.0000337597],"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":[0.0007941311,0.0005711069,0.0001602099,0.009704436,0.00006276488,0.00001418639,0.005844489,0.4262038,0.5147843,0.005597532,0.00001681846,0.03624628],"study_design_scores_gemma":[0.001293746,0.00002643202,0.00006148197,0.0004012547,0.00005355346,0.0001301786,0.0003474549,0.8411162,0.1303929,0.02605522,0.000004669871,0.0001168143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8788069,0.0002074558,0.1204744,0.0001770655,0.00001848823,0.0001599973,0.00001413106,0.00001504312,0.000126451],"genre_scores_gemma":[0.9194116,0.000006565021,0.08050723,0.000009442118,0.00002072199,0.00001370319,0.00001044472,0.00001083302,0.000009447269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4149125,"threshold_uncertainty_score":0.3708846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236702167932122,"score_gpt":0.2829060950377908,"score_spread":0.2592358782445786,"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."}}