{"id":"W4313402972","doi":"10.1007/s13369-022-07561-3","title":"Prediction of Yield Sooting Index Utilizing Artificial Neural Networks and Adaptive-Network-Based Fuzzy Inference Systems","year":2022,"lang":"en","type":"article","venue":"Arabian Journal for Science and Engineering","topic":"Chemical Thermodynamics and Molecular Structure","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Adaptive neuro fuzzy inference system; Soot; Artificial neural network; Yield (engineering); Combustion; Artificial intelligence; Inference system; Test set; Computer science; Biological system; Machine learning; Fuzzy logic; Chemistry; Materials science; Fuzzy control system; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007972547,0.0007226246,0.0007784067,0.001135645,0.0003902002,0.0009666939,0.0005270713,0.0006537841,0.0006341494],"category_scores_gemma":[0.001542126,0.0002935443,0.0005564056,0.0008695311,0.0002328961,0.0008531794,0.0002527707,0.0004245805,0.0001504912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000759122,"about_ca_system_score_gemma":0.0005536188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372497,"about_ca_topic_score_gemma":0.01156995,"domain_scores_codex":[0.9996927,0.00003958662,0.00003675601,0.0001029933,0.00009638304,0.00003159285],"domain_scores_gemma":[0.9993234,0.0002921797,0.00009662846,0.00002436112,0.0002403595,0.00002306733],"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":[0.0003947374,0.0002957892,0.02338596,0.0001171141,0.000134325,0.0001420767,0.00005005049,0.8551586,0.008411714,0.0007042473,0.001062574,0.1101428],"study_design_scores_gemma":[0.000002698095,0.00001327725,0.001634769,0.000001609233,0.000007501114,0.000003486443,0.0000027676,0.9975379,0.0006686127,0.00009786373,0.00002558331,0.000003939266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6469896,0.0005143158,0.348383,0.0001370892,0.0001275005,0.00006565542,0.0002806894,0.0005154049,0.002986591],"genre_scores_gemma":[0.9872208,0.0001033895,0.01187608,0.00001005578,0.00001592434,0.0000212578,0.0001477285,0.000007585177,0.0005970866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01372497,"threshold_uncertainty_score":0.02729017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397806893309751,"score_gpt":0.2227246718175689,"score_spread":0.1987466028844714,"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."}}