{"id":"W4251301965","doi":"10.4018/9781591406709.ch010","title":"Neural Networks in Manufacturing Operations","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Artificial neural network; Computer science; Business; Artificial intelligence","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":[0.0008762096,0.0009019601,0.0006532827,0.001116824,0.0005134908,0.002413318,0.0009792172,0.002529534,0.006716726],"category_scores_gemma":[0.003227579,0.0003068428,0.0005712194,0.001879761,0.001878805,0.002516498,0.001021304,0.002440137,0.001232265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002040566,"about_ca_system_score_gemma":0.0009674901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0072032,"about_ca_topic_score_gemma":0.00438092,"domain_scores_codex":[0.9993451,0.0002477068,0.00004714142,0.0001120064,0.000203212,0.00004470506],"domain_scores_gemma":[0.9991054,0.0005925029,0.00007387913,0.00005164431,0.0001504746,0.00002618752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003470734,0.00003578559,0.000748086,0.0004248154,0.00005343006,0.0001784569,0.0002123373,0.1646122,0.0004465209,0.7161219,0.01153647,0.1055953],"study_design_scores_gemma":[0.00001350198,0.0000338815,0.000768789,0.0003402166,0.00001872487,0.0001251675,0.0001423044,0.2137574,0.0004299329,0.6951875,0.08914357,0.00003893152],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01636885,0.1491589,0.5260016,0.02264647,0.002970425,0.0001074839,0.0007051339,0.0005887882,0.2814524],"genre_scores_gemma":[0.5972553,0.1418923,0.1639383,0.002880079,0.003421385,0.0004444864,0.0009896802,0.0001913938,0.08898693],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0072032,"threshold_uncertainty_score":0.0224697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374820854310488,"score_gpt":0.2025423505202952,"score_spread":0.1887941419771903,"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."}}