{"id":"W2087505603","doi":"10.1016/s0007-8506(07)60728-8","title":"Integrated Inspection and Machining for Maximum Conformance to Design Tolerances","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Windsor","funders":"","keywords":"Machining; Rework; Envelope (radar); Reliability engineering; Geometric dimensioning and tolerancing; Scrap; Engineering; Design for assembly; Engineering drawing; Mechanical engineering; Machine tool; Function (biology); Manufacturing engineering; Computer science; Design for manufacturability","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":[0.0008133747,0.0006811221,0.0009095122,0.0005306716,0.0004127542,0.0007671461,0.001008382,0.0008020431,0.002213603],"category_scores_gemma":[0.002391333,0.0005866826,0.0005269689,0.0005500658,0.0005662482,0.0006898666,0.0008705474,0.0009290357,0.000252506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005736368,"about_ca_system_score_gemma":0.001088349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002078736,"about_ca_topic_score_gemma":0.003481898,"domain_scores_codex":[0.9990999,0.0001274839,0.00002236857,0.0001527497,0.0004729882,0.0001245358],"domain_scores_gemma":[0.9992785,0.0002504086,0.0001102696,0.0001452592,0.0001869706,0.00002853345],"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":[0.0009453739,0.0004485627,0.002884055,0.0002034451,0.00008582271,0.00013015,0.0002447043,0.6172355,0.1554651,0.01920122,0.001442054,0.201714],"study_design_scores_gemma":[0.00005004377,0.0006223797,0.002887703,0.00001305254,0.00004955545,0.00008993466,0.00002917285,0.9509546,0.04033151,0.003773314,0.001178888,0.00001984574],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09769929,0.000167651,0.8961062,0.00005311288,0.00002818855,0.0000493112,0.00002621602,0.000806339,0.005063678],"genre_scores_gemma":[0.8228871,0.00005322202,0.1744819,0.00002809655,0.000008808873,0.00004773936,0.00004327258,0.00009982393,0.002350113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002213603,"threshold_uncertainty_score":0.007405221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03552910391745893,"score_gpt":0.2548173444431064,"score_spread":0.2192882405256475,"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."}}