{"id":"W2365688570","doi":"","title":"Design of Optical System for Surface Defect Detection of Steel Strip","year":2005,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Lens (geology); Optics; Surface (topology); Line (geometry); Field of view; Computer science; Engineering; Computer vision; Physics; Mathematics","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":[0.0003448226,0.000478669,0.0004087256,0.0006496793,0.000615735,0.0006383142,0.0009148569,0.0007441466,0.004023137],"category_scores_gemma":[0.000378249,0.0003318609,0.0001996971,0.00029356,0.0002757543,0.0004579072,0.0003181836,0.0002861696,0.00128235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006724906,"about_ca_system_score_gemma":0.001050205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357805,"about_ca_topic_score_gemma":0.001203681,"domain_scores_codex":[0.9996287,0.00004374531,0.00001592804,0.0001209889,0.0001441291,0.00004649236],"domain_scores_gemma":[0.9996809,0.00004446183,0.00003471837,0.00001844774,0.0001871811,0.00003434358],"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":[0.0005681128,0.0001370558,0.003199557,0.0005894875,0.00005761946,0.0005033057,0.0004677939,0.006541474,0.7401704,0.009079097,0.009212443,0.2294737],"study_design_scores_gemma":[0.0008201305,0.003706016,0.01945435,0.0002631767,0.0003225536,0.005227776,0.0003393977,0.261146,0.5748032,0.004148082,0.1294826,0.0002866458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09206904,0.0009144794,0.8854337,0.0006177204,0.0004264149,0.0008258302,0.0002756688,0.004944728,0.01449242],"genre_scores_gemma":[0.5666858,0.0005533686,0.4141299,0.000535429,0.0002655836,0.0009672916,0.000372822,0.000103996,0.01638583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004023137,"threshold_uncertainty_score":0.01345873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02924233372161417,"score_gpt":0.2325261373257324,"score_spread":0.2032838036041182,"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."}}