{"id":"W2138622222","doi":"10.1109/pacrim.2011.6032986","title":"Neural networks approach to biocomposites processing","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Artificial neural network; Artificial intelligence; MATLAB; Computer science; Biocomposite; Backpropagation; Machine learning; Algorithm; Data mining","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":[0.0005266387,0.0006928992,0.0007123897,0.0008818338,0.0003185655,0.001387445,0.001128813,0.001104286,0.002677309],"category_scores_gemma":[0.001086148,0.0004003402,0.0007767832,0.0009948494,0.0005747689,0.0009454344,0.00056209,0.001400382,0.0006043867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235463,"about_ca_system_score_gemma":0.0008526848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006237531,"about_ca_topic_score_gemma":0.004106055,"domain_scores_codex":[0.9996659,0.00007320548,0.00002376929,0.00007520569,0.0001338935,0.00002803267],"domain_scores_gemma":[0.9996476,0.0001590564,0.00002569085,0.00001730126,0.0001405022,0.000009817078],"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":[0.00004962655,0.00003607039,0.0003977235,0.0002415547,0.00008669969,0.0000929813,0.0000574432,0.8517828,0.003944333,0.04728117,0.001552561,0.09447711],"study_design_scores_gemma":[0.000003371774,0.00001386485,0.0001048434,0.00001775779,0.00001084346,0.00001647427,0.00000998636,0.9785838,0.001368041,0.01687776,0.002985416,0.000007936833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006381196,0.003834224,0.978131,0.0005492842,0.0001241822,0.00004928244,0.000109371,0.0004150233,0.01040641],"genre_scores_gemma":[0.4366107,0.01268014,0.5117961,0.0004633986,0.0004467283,0.0005112389,0.0005581115,0.00017579,0.03675782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006237531,"threshold_uncertainty_score":0.01240247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700961085128506,"score_gpt":0.2074528250499327,"score_spread":0.1904432141986477,"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."}}