{"id":"W4396926766","doi":"10.3390/pr12050999","title":"Artificial Neural Network Modeling in the Presence of Uncertainty for Predicting Hydrogenation Degree in Continuous Nitrile Butadiene Rubber Processing","year":2024,"lang":"en","type":"article","venue":"Processes","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Nitrile; Natural rubber; Artificial neural network; Degree (music); Computer science; 1,3-Butadiene; Artificial intelligence; Materials science; Composite material; Chemistry; Organic chemistry; Acoustics; Physics; Catalysis","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":[0.001028237,0.0008703045,0.0005959262,0.0004626949,0.000289557,0.0007938464,0.0005408636,0.0009864504,0.0006270999],"category_scores_gemma":[0.001767293,0.0003601328,0.0006703764,0.0004249812,0.0003149336,0.0007323037,0.0004155085,0.001023112,0.00009942047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006337632,"about_ca_system_score_gemma":0.0005517208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009967878,"about_ca_topic_score_gemma":0.0054771,"domain_scores_codex":[0.9997725,0.00006735135,0.00001813197,0.00006137781,0.0000510002,0.00002965171],"domain_scores_gemma":[0.9991672,0.0006153533,0.00008014411,0.000021842,0.00009927822,0.00001607146],"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":[0.00003549417,0.00002210857,0.001055809,0.00002329492,0.00001577971,0.00002670901,0.000008375037,0.9926422,0.0005959827,0.0002215115,0.00005953305,0.005293192],"study_design_scores_gemma":[6.028531e-7,0.000004749356,0.0001439879,0.000001469872,0.000001664012,0.000001119035,0.000001386634,0.9995912,0.0001438287,0.00009260315,0.00001593218,0.00000154113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6903112,0.001930363,0.3018467,0.0005736423,0.00009220827,0.00006386014,0.0004786725,0.0003656696,0.004337628],"genre_scores_gemma":[0.9908578,0.0002701683,0.008038441,0.00003366513,0.00001434056,0.00004250901,0.0001641544,0.000009354516,0.0005696882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009967878,"threshold_uncertainty_score":0.01981968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04703956946685139,"score_gpt":0.2655794766607616,"score_spread":0.2185399071939103,"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."}}