{"id":"W2089271599","doi":"10.1115/1.1581888","title":"Design of a Slot-Coater-Based Layered-Composites Manufacturing System","year":2003,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite number; Composite material; Fiber; Layer (electronics); Mixing (physics); Coating; Breakage; Lithography; Glass fiber; Photopolymer; Polymer; Monomer; Optoelectronics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001062541,0.0002379297,0.0003513873,0.0006061016,0.0001126493,0.000125351,0.000303662,0.00007061465,0.000008132263],"category_scores_gemma":[0.00005753805,0.0002083782,0.0000601785,0.000173274,0.00006788349,0.0005635684,0.00002270467,0.0002342943,0.000001193417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489682,"about_ca_system_score_gemma":0.00007113518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002317401,"about_ca_topic_score_gemma":1.21622e-7,"domain_scores_codex":[0.9983739,0.00001789157,0.000535491,0.0001735965,0.0005246321,0.0003744959],"domain_scores_gemma":[0.9992511,0.0001005311,0.0001845463,0.0001757772,0.0001165267,0.0001714949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009304812,0.000009754219,0.0000279974,0.0005409994,0.00002102024,0.00001312564,0.0001328348,0.9699001,0.02847819,0.00003464572,0.000006575298,0.0008254118],"study_design_scores_gemma":[0.000290004,0.00005568097,0.0006989616,0.0002671603,0.00002021576,0.00009448775,0.00005875133,0.2415856,0.7565907,0.000009870827,0.0001565125,0.0001720349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6344873,0.0002855266,0.3644397,0.000007943058,0.0003999698,0.0000898756,8.844846e-7,0.00008603267,0.0002027242],"genre_scores_gemma":[0.9752033,0.00005311126,0.02465193,0.000007184193,0.00004510191,0.000002886547,2.267112e-7,0.00003124704,0.000005002098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7283145,"threshold_uncertainty_score":0.8497416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009356994927995448,"score_gpt":0.1867703156973254,"score_spread":0.17741332076933,"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."}}