{"id":"W3156141867","doi":"10.4236/ojcm.2021.112004","title":"A Mini-Review and Perspective on Current Best Practice and Emerging Industry 4.0 Methods for Risk Reduction in Advanced Composites Manufacturing","year":2021,"lang":"en","type":"article","venue":"Open Journal of Composite Materials","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Aerospace; Interpretability; Context (archaeology); Risk analysis (engineering); Reduction (mathematics); Manufacturing; Computer science; Manufacturing engineering; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007311718,0.0001421682,0.0004207177,0.00008973834,0.00007702999,0.0002429243,0.0001030947,0.00005705253,0.00002790494],"category_scores_gemma":[0.0001198631,0.0001315199,0.00002375032,0.00006074483,0.00001317941,0.0005502101,0.00006714811,0.0002418199,3.182376e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006977525,"about_ca_system_score_gemma":0.00001902673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001065221,"about_ca_topic_score_gemma":7.93262e-7,"domain_scores_codex":[0.9990334,0.000198514,0.0004244848,0.0001505004,0.00007267508,0.0001204539],"domain_scores_gemma":[0.9992377,0.000154765,0.0003053721,0.00008431898,0.0001586376,0.00005917231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001695618,0.0006675659,0.0001509004,0.00905942,0.0006639907,0.00006155223,0.004600962,0.1448004,0.4114622,0.0006216157,0.0003690399,0.4258467],"study_design_scores_gemma":[0.00141168,0.0002080096,0.0005461151,0.00384897,0.0003791034,0.0004018855,0.0007574575,0.0004466069,0.9840147,0.0004633685,0.007241244,0.0002807998],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245099,0.05824362,0.0136955,0.00124288,0.0009701051,0.000827651,0.00002925841,0.00001803006,0.0004630331],"genre_scores_gemma":[0.614667,0.07499531,0.3098283,0.00011605,0.0002267415,0.00004946749,0.0000158439,0.00006379713,0.00003747031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5725526,"threshold_uncertainty_score":0.5363227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046101189922185,"score_gpt":0.3727814987835177,"score_spread":0.3523204868842959,"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."}}