{"id":"W2904043173","doi":"10.1007/s10489-018-1300-5","title":"Design of fuzzy radial basis function neural network classifier based on information data preprocessing for recycling black plastic wastes: comparative studies of ATR FT-IR and Raman spectroscopy","year":2018,"lang":"en","type":"article","venue":"Applied Intelligence","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Research Foundation of Korea","keywords":"Computer science; Classifier (UML); Artificial intelligence; Artificial neural network; Pattern recognition (psychology); Fourier transform; Radial basis function; Materials science; Fuzzy logic; Process engineering; Mathematics; Engineering","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":[0.0003227664,0.0002102527,0.0004323334,0.0001220948,0.000159702,0.00003717604,0.0002806353,0.00009804342,0.0000610753],"category_scores_gemma":[0.0003497337,0.0001893576,0.00003804236,0.0004809,0.0004539673,0.0002552644,0.00008048371,0.0001435158,0.0000059617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000531661,"about_ca_system_score_gemma":0.00005531027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006073041,"about_ca_topic_score_gemma":0.000004132396,"domain_scores_codex":[0.998592,0.00001827478,0.0005690922,0.0003530206,0.0002179042,0.000249737],"domain_scores_gemma":[0.9971551,0.001690252,0.000500606,0.0004164345,0.0001909979,0.00004658178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.022803,0.0006405392,0.005880832,0.005505061,0.002243614,8.89345e-7,0.01241301,0.4675772,0.4336389,0.003386102,0.008160855,0.03775005],"study_design_scores_gemma":[0.0002785304,0.0003254621,0.00006805013,0.0001252485,0.0002657695,3.471959e-7,0.003291346,0.3488143,0.6455427,0.001078268,0.00004415842,0.0001658124],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1559733,0.0003166585,0.8408213,0.00002020936,0.0001288843,0.0003122591,0.00003261703,0.00004441055,0.002350357],"genre_scores_gemma":[0.9847836,0.00007112527,0.01475491,0.00005508035,0.0002138869,0.00002771883,0.00006617915,0.000011578,0.00001594156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8288102,"threshold_uncertainty_score":0.7721781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1424539859349775,"score_gpt":0.3590531760838978,"score_spread":0.2165991901489203,"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."}}