{"id":"W2020706375","doi":"10.1016/j.jmsy.2012.07.011","title":"Inspection of the machined surfaces using manufacturing data","year":2012,"lang":"en","type":"article","venue":"Journal of Manufacturing Systems","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Machining; CAD; Coordinate-measuring machine; Automated optical inspection; Process (computing); Automated X-ray inspection; Engineering drawing; Machine tool; Engineering; Surface (topology); Numerical control; Mechanical engineering; Computer science; Computer vision; Image processing; Mathematics; Geometry","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":[0.0003454074,0.0003728216,0.0004362888,0.001329823,0.0002336695,0.0006265019,0.0005068535,0.0006584564,0.001557891],"category_scores_gemma":[0.001409582,0.0003211394,0.0003167082,0.0006438638,0.0002992118,0.0004372927,0.0005114251,0.0004296635,0.0004391398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001872112,"about_ca_system_score_gemma":0.0002470696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005069714,"about_ca_topic_score_gemma":0.000748039,"domain_scores_codex":[0.9993267,0.00008044392,0.0000300788,0.00008089784,0.000428301,0.0000536673],"domain_scores_gemma":[0.9989778,0.0003821756,0.00008631039,0.0002542211,0.0002669762,0.00003246194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006396944,0.00007810409,0.01332446,0.0003047455,0.00004171562,0.0004093579,0.0002624387,0.01019647,0.7621948,0.001354606,0.0009721342,0.2102215],"study_design_scores_gemma":[0.00003690863,0.0004941581,0.08498077,0.00007603742,0.00005701548,0.001790453,0.0003348437,0.3242576,0.5784188,0.001973462,0.007499871,0.00008017241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5860977,0.0004893548,0.4065152,0.0001492768,0.00007300873,0.00005948539,0.0004945361,0.001518039,0.004603442],"genre_scores_gemma":[0.9107471,0.0001584001,0.08760309,0.00002884019,0.00001057413,0.00001515227,0.0002877106,0.00006258081,0.001086569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001557891,"threshold_uncertainty_score":0.005211651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05543402949137131,"score_gpt":0.2710044050362628,"score_spread":0.2155703755448915,"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."}}