{"id":"W4415159106","doi":"10.1080/13647830.2025.2570759","title":"Development of artificial neural networks (ANNs) for chemistry representation in the conditional source-term estimation (CSE) combustion model","year":2025,"lang":"en","type":"article","venue":"Combustion Theory and Modelling","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Representation (politics); Artificial neural network; Combustion; Development (topology); Estimation; Estimation theory","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006883873,0.0005948662,0.0003624613,0.000281515,0.0002395802,0.000464836,0.0009115244,0.0006655504,0.001249033],"category_scores_gemma":[0.001714281,0.0004139113,0.0005066944,0.0002729295,0.0002485221,0.0006839302,0.0005824549,0.001143098,0.0004828447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003938308,"about_ca_system_score_gemma":0.0007582598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004986399,"about_ca_topic_score_gemma":0.004818397,"domain_scores_codex":[0.9997813,0.00005523907,0.00001968963,0.00004620378,0.00007826445,0.00001924988],"domain_scores_gemma":[0.9994646,0.0002283402,0.00004378433,0.00004838628,0.0002005005,0.0000144584],"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":[0.00002626182,0.00003045352,0.0007689591,0.00005184313,0.0000292796,0.00003420747,0.00001924163,0.9454297,0.00416545,0.002910448,0.0003677453,0.04616633],"study_design_scores_gemma":[9.956893e-7,0.000006000321,0.0000762232,0.00000374042,0.000002354874,0.000004114705,0.0000012634,0.9985918,0.0007915652,0.0002883008,0.0002314226,0.000002072665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02955505,0.0002752267,0.9661508,0.0001149869,0.00005360122,0.00004393024,0.00008595596,0.0008958892,0.002824635],"genre_scores_gemma":[0.4723279,0.0003899101,0.5216492,0.0001110601,0.00003271734,0.0002737257,0.0003803283,0.0001150086,0.004720133],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004986399,"threshold_uncertainty_score":0.009914756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235402714878916,"score_gpt":0.2609078269421756,"score_spread":0.2385537997933865,"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."}}