{"id":"W1994064153","doi":"10.1007/s001380000043","title":"Machine vision system for curved surface inspection","year":2000,"lang":"en","type":"article","venue":"Machine Vision and Applications","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; National Research Council Canada","funders":"","keywords":"Computer vision; Artificial intelligence; Structured light; Curvature; Computer science; Triangulation; Geodetic datum; Linearity; System of measurement; Mathematics; Engineering; Geology; 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":[0.0004418584,0.0005052665,0.000884262,0.0009360844,0.0007580933,0.0006236049,0.0009436921,0.001251592,0.01851102],"category_scores_gemma":[0.0007482041,0.000260682,0.0003466701,0.0006827172,0.0001654405,0.000563493,0.0006493992,0.0008418366,0.007510293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005658296,"about_ca_system_score_gemma":0.001569852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002899141,"about_ca_topic_score_gemma":0.0034641,"domain_scores_codex":[0.999558,0.00005761861,0.00001764856,0.00009978625,0.0002136577,0.00005321893],"domain_scores_gemma":[0.9994224,0.0000468915,0.00002041139,0.00006372367,0.0004018584,0.00004478132],"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":[0.0007197084,0.0002328816,0.001703425,0.0003346697,0.00005304466,0.0002861317,0.0001315642,0.002994678,0.4022595,0.004449692,0.04590164,0.5409331],"study_design_scores_gemma":[0.0003911266,0.002560524,0.02613114,0.0001996561,0.0003357517,0.003216247,0.0001648443,0.3097384,0.4010774,0.002822461,0.2530266,0.0003358179],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04485999,0.001319731,0.89551,0.0005462773,0.0007079956,0.0007556412,0.001090311,0.03330798,0.02190213],"genre_scores_gemma":[0.3375393,0.0008236327,0.6015202,0.001142839,0.0001652067,0.001045978,0.003150825,0.0006236732,0.05398835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01851102,"threshold_uncertainty_score":0.06192553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006244543806893696,"score_gpt":0.2663803815078344,"score_spread":0.2601358377009407,"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."}}