{"id":"W2893380747","doi":"10.1177/0040517518803792","title":"A machine vision system for the braid angle measurement of tubular braided structures","year":2018,"lang":"en","type":"article","venue":"Textile Research Journal","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Braid; Mandrel; Fiber; Materials science; Quality assurance; Orientation (vector space); Process (computing); Machine vision; Composite material; Computer science; Computer vision; Engineering; Geometry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005840514,0.0001159903,0.0002156799,0.0002678219,0.0005693394,0.0001503399,0.0002820428,0.0001096976,0.0001457289],"category_scores_gemma":[0.0003922834,0.00007085341,0.0001339205,0.0003525587,0.00009351598,0.000116644,0.00004328313,0.0004928651,0.00002438324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002623141,"about_ca_system_score_gemma":0.00008574556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004797658,"about_ca_topic_score_gemma":0.00002513809,"domain_scores_codex":[0.9975294,0.0002413008,0.0004262841,0.0001252359,0.001286529,0.0003912927],"domain_scores_gemma":[0.9981793,0.0002528053,0.00007869447,0.0002784214,0.001087897,0.000122846],"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":[0.0007011028,0.00005326424,0.0000574008,0.0005536225,0.0004459943,0.00001691239,0.001006277,0.003036193,0.7152498,0.001252072,0.06255683,0.2150705],"study_design_scores_gemma":[0.005382753,0.004139861,0.002122332,0.001418411,0.00007440776,0.001075028,0.002720835,0.1491613,0.559614,0.001657719,0.2721086,0.0005247897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6823128,0.01895912,0.2614657,0.0006449685,0.01163621,0.006162331,0.0001640018,0.0006529606,0.01800192],"genre_scores_gemma":[0.9981706,0.00003164244,0.0001070604,0.000003122035,0.001559605,0.00002146398,6.784674e-7,0.00003039958,0.00007543677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3158578,"threshold_uncertainty_score":0.4378956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.088208731950314,"score_gpt":0.3529116564233318,"score_spread":0.2647029244730178,"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."}}