{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001612237,0.0001021632,0.000148906,0.0004327732,0.00007116357,0.00004310855,0.0004881815,0.0001221361,0.0000123769],"category_scores_gemma":[0.00002513701,0.00007336486,0.00005797156,0.000112067,0.00003133495,0.0002571373,0.00002331016,0.0003379324,0.00002943729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002655617,"about_ca_system_score_gemma":0.000003359315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004244451,"about_ca_topic_score_gemma":0.000002769874,"domain_scores_codex":[0.9991494,0.00001920951,0.0003750415,0.00007582027,0.000258578,0.0001219499],"domain_scores_gemma":[0.9994496,0.00002719712,0.0001862675,0.0001752926,0.0001312453,0.00003045781],"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":[0.0001408634,0.00008358699,0.00007393478,0.00003410304,0.0004583049,0.0002362085,0.0003808259,0.5279768,0.2767799,0.001977308,0.007867127,0.1839911],"study_design_scores_gemma":[0.0009613723,0.0002543941,0.0002856563,0.0001407974,0.00001913314,0.002563771,0.0009298272,0.1508469,0.8315853,0.000304839,0.01193858,0.0001694736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875622,0.0001750021,0.00387483,0.0002779411,0.003866002,0.00007868981,0.000001962539,0.003440801,0.000722558],"genre_scores_gemma":[0.9989637,0.00005964599,0.0005375698,0.0000127511,0.0003921387,0.00000385071,4.074387e-7,0.00001819232,0.00001173823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5548054,"threshold_uncertainty_score":0.2991732,"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."}}