{"id":"W2018863220","doi":"10.1002/adv.21462","title":"Polymer Color Properties: Neural Network Modeling","year":2014,"lang":"en","type":"article","venue":"Advances in Polymer Technology","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Backpropagation; Conjugate gradient method; Artificial neural network; Gradient descent; Sigmoid function; Algorithm; Computer science; Rprop; Feedforward neural network; Artificial intelligence; Materials science; Biological system; Types of artificial neural networks; Time delay neural network","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":[0.00007073321,0.0001253308,0.0001687522,0.0001118278,0.0001426513,0.00001583311,0.0003765271,0.00005825482,0.00006029876],"category_scores_gemma":[0.000004438597,0.0001093725,0.00003643232,0.000665404,0.0001798142,0.0002364765,0.0001091676,0.0001871848,0.00003891946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001158835,"about_ca_system_score_gemma":0.00002070526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006818408,"about_ca_topic_score_gemma":0.00002714935,"domain_scores_codex":[0.9989778,0.00001569511,0.0002126379,0.0003047323,0.00007671228,0.0004123698],"domain_scores_gemma":[0.9995446,0.00002262695,0.00005983946,0.0003193048,0.00001896941,0.00003469281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001682071,0.0001232861,0.03912945,0.000006789234,0.00001104517,6.066772e-7,0.000108535,0.02652336,0.005954302,0.4975204,0.00007028077,0.4305352],"study_design_scores_gemma":[0.0008268995,0.000175143,0.0000756092,0.00006119544,0.00002156829,0.000004657564,0.00104333,0.7831218,0.08236095,0.1015716,0.03005856,0.0006786354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415807,0.01242248,0.0303714,0.003828729,0.0003127519,0.0002890698,0.00000388406,0.0002338049,0.0109572],"genre_scores_gemma":[0.9987305,0.00001875803,0.0003776111,0.0001735257,0.0001679237,0.0002191052,0.00000254942,0.00001132051,0.0002987415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7565985,"threshold_uncertainty_score":0.4460081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007991759022047774,"score_gpt":0.2488658003304251,"score_spread":0.2408740413083773,"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."}}