{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009607214,0.0000733122,0.0000839091,0.00005850426,0.0000672831,0.00005178424,0.00003798379,0.00003199175,0.000005253517],"category_scores_gemma":[0.00001336687,0.00006979783,0.00001170395,0.00006980186,0.000007825663,0.0001388757,0.000004545238,0.00004032646,0.000004258929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001291941,"about_ca_system_score_gemma":0.000008152415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008245325,"about_ca_topic_score_gemma":0.000004829333,"domain_scores_codex":[0.9996626,0.00000303793,0.00009499589,0.00008511851,0.000037973,0.0001162863],"domain_scores_gemma":[0.9998515,0.00001226252,0.00001453161,0.00004532281,0.00003521794,0.000041139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001929802,0.000003741097,0.00002138753,0.00007206325,0.000008775276,3.406504e-7,0.0006804757,0.9562812,0.0003172579,0.0002969076,0.0003668001,0.04193177],"study_design_scores_gemma":[0.001499822,0.0003575618,0.002978516,0.0004218546,0.00002102803,0.00001390599,0.0003110454,0.7227784,0.2125593,0.01228886,0.04601682,0.0007529284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06717208,0.0002801431,0.9311854,0.0001492215,0.0001246989,0.0001904341,0.000004901681,0.0002437911,0.0006493161],"genre_scores_gemma":[0.9818094,0.0001046533,0.01774347,0.0002092874,0.00004132203,0.00004065419,0.000006501755,0.00001325814,0.00003148362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9146373,"threshold_uncertainty_score":0.2846273,"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."}}