{"id":"W3105475673","doi":"10.1007/s001700200104","title":"An Automated Inspection System","year":2002,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University; University of Alberta","funders":"","keywords":"CAD; Point cloud; Range (aeronautics); Automated optical inspection; Coordinate-measuring machine; Computer science; Cloud computing; Engineering drawing; Automated X-ray inspection; Engineering; Computer vision; Artificial intelligence; Computer graphics (images); Image processing; Mechanical engineering","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":[0.0004337466,0.0008419424,0.000827,0.001225535,0.0008260584,0.0009758599,0.0009319351,0.001067085,0.01037923],"category_scores_gemma":[0.0008071897,0.0004835307,0.0003845407,0.0006812883,0.0002657885,0.0009043541,0.000896179,0.0005523673,0.004293034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004779807,"about_ca_system_score_gemma":0.001009251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001636442,"about_ca_topic_score_gemma":0.001987287,"domain_scores_codex":[0.9992848,0.00005125973,0.00003013611,0.0002492779,0.0003279176,0.00005660482],"domain_scores_gemma":[0.9992969,0.0001222398,0.00005870446,0.000174705,0.0002946079,0.00005281605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007244104,0.0002653528,0.002968621,0.0002602356,0.00006231045,0.0004630471,0.0001349333,0.006331009,0.2733942,0.003064713,0.0249752,0.687356],"study_design_scores_gemma":[0.000288204,0.001697151,0.02010381,0.0001106937,0.0002565954,0.002862006,0.00009717005,0.4954681,0.3127146,0.004307606,0.1618778,0.0002163323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09600001,0.0009372833,0.795626,0.0004785136,0.000614623,0.0005858397,0.001182573,0.08155587,0.02301927],"genre_scores_gemma":[0.4767547,0.0003520877,0.4824522,0.0005183667,0.0001664533,0.0002811648,0.002190855,0.000566787,0.03671736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01037923,"threshold_uncertainty_score":0.03472197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008998565472544,"score_gpt":0.2434320358223257,"score_spread":0.2333420501676003,"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."}}