{"id":"W2092539286","doi":"10.1115/ipc2008-64036","title":"Digital Imaging of an ERW Pipe Forming Process","year":2008,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Strain gauge; Deformation (meteorology); Cartesian coordinate system; Process (computing); Strain (injury); Materials science; Contour line; Digital image; Digital imaging; Geometry; Optics; Image processing; Computer science; Physics; Mathematics; Artificial intelligence; Composite material; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00003595366,0.00009115935,0.00009988756,0.00006699201,0.00002889248,0.00001322853,0.0001258689,0.00001964318,0.00001187251],"category_scores_gemma":[0.00003786172,0.00008928822,0.0000208593,0.0001188508,0.00004745834,0.0006765744,0.00001939094,0.00006723599,0.000002984646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002352065,"about_ca_system_score_gemma":0.00001134238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007532328,"about_ca_topic_score_gemma":0.000001070057,"domain_scores_codex":[0.9995281,0.000002060751,0.0001362616,0.0000934621,0.00009424732,0.0001459023],"domain_scores_gemma":[0.9997279,0.00002159793,0.00001993133,0.0001420435,0.00004999659,0.00003852112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002565312,0.0002176598,0.6618847,0.000889261,0.00007868092,0.0001994035,0.003527116,0.0005103073,0.2104028,0.01033188,0.0007363522,0.1111961],"study_design_scores_gemma":[0.0005050852,0.0001363635,0.03271748,0.000195868,0.00001494684,0.0009283252,0.0004159863,0.02869986,0.7819874,0.1533375,0.00009843017,0.0009626766],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8456798,0.00001573332,0.02870255,0.000002980016,0.00002315236,0.0000675359,0.000002445958,0.001448572,0.1240573],"genre_scores_gemma":[0.8518977,0.00000111738,0.1480304,0.000004465115,0.00001974022,0.000005266219,0.000002412772,0.00002516173,0.00001379576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6291673,"threshold_uncertainty_score":0.3641068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159601939848596,"score_gpt":0.2379727690607503,"score_spread":0.2263767496622644,"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."}}