{"id":"W4244676607","doi":"10.32920/ryerson.14646126","title":"Parametric design methodology for manufacturing of metallic and composite structures","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Industry Canada","keywords":"Conceptual design; Concurrent engineering; Probabilistic design; Manufacturing engineering; Design for manufacturability; New product development; Systems engineering; Scope (computer science); Rework; Engineering; Computer science; Functional requirement; Design technology; Industrial engineering; Engineering design process; Mechanical engineering; Scheduling (production processes); Operations management; Software engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003680631,0.001091259,0.0007392714,0.00151133,0.0006374658,0.001542633,0.001967895,0.0008537931,0.006552363],"category_scores_gemma":[0.00304838,0.0007370253,0.001468857,0.001040662,0.001423117,0.0007541512,0.001674851,0.001799216,0.001388992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000957933,"about_ca_system_score_gemma":0.001900193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008818451,"about_ca_topic_score_gemma":0.001076602,"domain_scores_codex":[0.9966663,0.0008958462,0.0001748079,0.000244601,0.001893758,0.0001247792],"domain_scores_gemma":[0.9987323,0.0005005387,0.0001976952,0.0002386498,0.0003049241,0.00002601024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005049624,0.0001006113,0.0005210153,0.00138954,0.00009732004,0.0002048105,0.0004649983,0.3921903,0.03448673,0.3541413,0.004021633,0.2123313],"study_design_scores_gemma":[0.00007847113,0.0007722781,0.0007537795,0.0003058598,0.00008980044,0.0007076944,0.0001352904,0.6635517,0.02456161,0.09686372,0.2120866,0.0000932129],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004879719,0.0001486743,0.9945614,0.00003386061,0.0000268288,0.0001253559,0.00002017035,0.0001265425,0.004469207],"genre_scores_gemma":[0.04811594,0.0006004339,0.9451947,0.00007814982,0.00004150117,0.001113528,0.0001049177,0.0001292079,0.004621579],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006552363,"threshold_uncertainty_score":0.02191985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07938702617921814,"score_gpt":0.2847021066871787,"score_spread":0.2053150805079605,"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."}}