{"id":"W1997469376","doi":"10.1088/1757-899x/26/1/012016","title":"Design for Manufacturing – One-Piece, Fibre-Placed Composite Helicopter Tailboom","year":2011,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Bell Helicopter Textron (Canada)","funders":"","keywords":"Aerospace; Manufacturing engineering; Automotive industry; Automation; Quality (philosophy); Advanced manufacturing; Engineering; Process (computing); New product development; Certification; Computer science; Mechanical engineering; Business","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":[0.0004403594,0.0004450353,0.0001932497,0.000450773,0.0003924808,0.0006928483,0.0006181909,0.0006871321,0.002608789],"category_scores_gemma":[0.0003133502,0.0002833585,0.000306913,0.0002087121,0.000373718,0.0003192678,0.0002972879,0.0003384938,0.00111462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000607989,"about_ca_system_score_gemma":0.0007182864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00130176,"about_ca_topic_score_gemma":0.002377379,"domain_scores_codex":[0.9995663,0.00005818597,0.00001678484,0.00005222416,0.0002688063,0.00003773415],"domain_scores_gemma":[0.9997794,0.00002155487,0.00003968883,0.00003059337,0.0001102387,0.00001856168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001709761,0.0001162095,0.001484477,0.0009893749,0.00003171167,0.0005139663,0.0005865135,0.05395968,0.7566688,0.01800754,0.004360474,0.1631103],"study_design_scores_gemma":[0.0001511673,0.003468315,0.01231827,0.0002389331,0.0001069868,0.002225559,0.0005349743,0.1776832,0.4027105,0.006634559,0.3938328,0.000094662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1195917,0.001024023,0.8166009,0.0002442413,0.0001735444,0.001029703,0.000246423,0.001740931,0.0593486],"genre_scores_gemma":[0.4585419,0.0009325854,0.5015963,0.0001130771,0.00003940582,0.0005789522,0.0003337225,0.0002538124,0.03761031],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002608789,"threshold_uncertainty_score":0.008727252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899968136911678,"score_gpt":0.2016190909877077,"score_spread":0.1726194096185909,"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."}}