{"id":"W4205170610","doi":"10.18280/ts.380608","title":"Precise Inspection of Geometric Parameters for Polyvinyl Chloride Pipe Section Based on Computer Vision","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Guangdong Province","keywords":"Polyvinyl chloride; Roundness (object); Computer science; Computer vision; Context (archaeology); Artificial intelligence; Section (typography); Region of interest; Engineering; Materials science; Mechanical engineering; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003487831,0.0005480609,0.0004768487,0.001481775,0.0001775625,0.0005216423,0.0006761173,0.0006152886,0.0004156134],"category_scores_gemma":[0.0008514058,0.0002971233,0.000661456,0.0005375089,0.0004467423,0.0008812236,0.0005185056,0.0004882293,0.0003271015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003135689,"about_ca_system_score_gemma":0.0004794859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00179292,"about_ca_topic_score_gemma":0.001789493,"domain_scores_codex":[0.9994937,0.00005635921,0.00002176682,0.0001410916,0.0002461333,0.00004080049],"domain_scores_gemma":[0.9995859,0.00007283781,0.00009174865,0.00008668449,0.0001468707,0.00001592819],"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":[0.0001396241,0.00006036066,0.003152062,0.0001992437,0.0000453116,0.0002239608,0.0001970663,0.0751483,0.4502494,0.004246875,0.001062222,0.4652756],"study_design_scores_gemma":[0.00001009821,0.0002262543,0.008841012,0.00003006087,0.00003822942,0.0007165103,0.00007535912,0.8579945,0.1256059,0.003009021,0.003389441,0.0000636646],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01997591,0.0001324331,0.9787372,0.00002643612,0.000007749402,0.0000255857,0.00002531319,0.0006278375,0.0004415333],"genre_scores_gemma":[0.4809776,0.0003698786,0.517406,0.00004743005,0.00001956919,0.00005541217,0.0001888244,0.0001010901,0.0008342002],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00179292,"threshold_uncertainty_score":0.003564954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790780744007021,"score_gpt":0.2278274549380799,"score_spread":0.2099196474980097,"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."}}