{"id":"W2087658132","doi":"10.2351/1.1536646","title":"Automatic detection of lack of fusion defects in CO2 laser gear welding","year":2003,"lang":"en","type":"article","venue":"Journal of Laser Applications","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Toronto Metropolitan University","funders":"","keywords":"Welding; Laser beam welding; Materials science; Automotive industry; Laser; Fusion; Mechanical engineering; Robot welding; Fusion welding; Automotive engineering; Metallurgy; Engineering; Optics","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":[0.0005124997,0.0002902878,0.0004771024,0.001105012,0.0002005438,0.0004920611,0.0006944858,0.000758145,0.0004411047],"category_scores_gemma":[0.001825621,0.0002727921,0.0001031336,0.0003919005,0.0003189405,0.0004746092,0.0003233449,0.0002300141,0.0001648151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002363759,"about_ca_system_score_gemma":0.0001929028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009153944,"about_ca_topic_score_gemma":0.001325086,"domain_scores_codex":[0.9994235,0.00007885772,0.00002269292,0.0001182869,0.0003172712,0.00003951478],"domain_scores_gemma":[0.9985067,0.0005928194,0.000357693,0.0001056463,0.0003830742,0.00005403992],"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":[0.0009909767,0.0001114504,0.01327016,0.0001759406,0.00002427391,0.0001936024,0.000217485,0.003893418,0.8730142,0.0001576285,0.00026718,0.1076838],"study_design_scores_gemma":[0.00005533643,0.0007901713,0.06728632,0.00002154502,0.00005166588,0.0009955771,0.000112875,0.1289149,0.8007054,0.000186601,0.0008154978,0.00006402435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9266883,0.000534595,0.07041687,0.00004899266,0.00003032499,0.00004249603,0.00008555813,0.001263338,0.0008894877],"genre_scores_gemma":[0.987751,0.00008991823,0.01171063,0.00001250328,0.000006377632,0.00001496195,0.00004495721,0.00002131635,0.0003482561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001105012,"threshold_uncertainty_score":0.002710342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636865166465068,"score_gpt":0.2633522844653401,"score_spread":0.2469836328006894,"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."}}