{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004492867,0.0004322421,0.0004009639,0.0003573505,0.0002500952,0.0005180333,0.0005914335,0.000824888,0.002030182],"category_scores_gemma":[0.00108431,0.0002582129,0.0003918312,0.0005528716,0.0002967867,0.0006188048,0.0002570594,0.0006318441,0.0003915452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007129581,"about_ca_system_score_gemma":0.0003998783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009010715,"about_ca_topic_score_gemma":0.004420699,"domain_scores_codex":[0.9998287,0.00005780088,0.000006938034,0.00003784415,0.0000491535,0.0000196455],"domain_scores_gemma":[0.9996474,0.0001985205,0.00003093504,0.00001319633,0.0001025694,0.000007277962],"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":[0.00001710816,0.00001371437,0.0003296212,0.00001587261,0.000008672731,0.00001708413,0.000006673151,0.991852,0.0005660722,0.0008571103,0.0001431378,0.006172936],"study_design_scores_gemma":[4.001106e-7,0.000001877556,0.00003987077,7.95586e-7,6.426885e-7,0.000001070815,4.364439e-7,0.9996518,0.0001047933,0.0001572832,0.00004017809,7.440067e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1340764,0.0008811248,0.8483719,0.0004639048,0.00009236623,0.00008181963,0.0002920115,0.0006614808,0.01507906],"genre_scores_gemma":[0.953288,0.0004004209,0.03691961,0.00005571891,0.00002641374,0.0001532778,0.0001774887,0.00003375435,0.008945327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009010715,"threshold_uncertainty_score":0.0179165,"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."}}