{"id":"W2103983035","doi":"10.1016/j.compind.2010.01.005","title":"Will Model-based Definition replace engineering drawings throughout the product lifecycle? A global perspective from aerospace industry","year":2010,"lang":"en","type":"article","venue":"Computers in Industry","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":188,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Product lifecycle; Aerospace; Certification; Manufacturing engineering; Product (mathematics); Engineering; Quality (philosophy); Systems engineering; Product management; Computer science; New product development","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":[0.01468132,0.001361401,0.001623793,0.002498238,0.00142039,0.01002885,0.004288025,0.00497502,0.003569839],"category_scores_gemma":[0.0201485,0.001040538,0.001771307,0.004088668,0.009689053,0.02847447,0.003455666,0.00527509,0.001123003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00428763,"about_ca_system_score_gemma":0.003198026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00711919,"about_ca_topic_score_gemma":0.004713014,"domain_scores_codex":[0.9915998,0.004792633,0.0005022741,0.000754348,0.001907997,0.0004429211],"domain_scores_gemma":[0.9807093,0.008796803,0.001385506,0.004816618,0.003887577,0.0004041336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004513447,0.00004558531,0.0006844866,0.0002087172,0.00002042956,0.0001017318,0.0009698382,0.01704005,0.0005393826,0.9226579,0.003154188,0.05453264],"study_design_scores_gemma":[0.00003812916,0.0001130855,0.0008821866,0.000530407,0.00008049351,0.000370524,0.001503967,0.05634846,0.002208209,0.81841,0.1194358,0.00007865289],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01913763,0.006360038,0.8919138,0.03513522,0.0008732968,0.00005203751,0.0001244929,0.0004429592,0.0459605],"genre_scores_gemma":[0.5112606,0.01014609,0.4601761,0.004842814,0.0007408831,0.0002047059,0.0004098797,0.000846052,0.01137288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01468132,"threshold_uncertainty_score":0.0776431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121846258080065,"score_gpt":0.2387206961128637,"score_spread":0.2265360703048572,"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."}}