{"id":"W2316512770","doi":"10.1016/j.ultras.2016.04.001","title":"Inspection of thick welded joints using laser-ultrasonic SAFT","year":2016,"lang":"en","type":"article","venue":"Ultrasonics","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Welding; Materials science; Ultrasonic testing; Butt welding; Laser; Ultrasonic sensor; Arc welding; Laser beam welding; Butt joint; Optics; Acoustics; Composite material; Metallurgy","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":[0.000412697,0.0002891462,0.0002920114,0.0007864918,0.0002237784,0.0002726442,0.0003635873,0.0006603556,0.001369675],"category_scores_gemma":[0.0008659844,0.0002956342,0.00020249,0.0002927434,0.0003801294,0.0003776692,0.0003081685,0.0002701106,0.0002817213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001532572,"about_ca_system_score_gemma":0.0002000802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008451726,"about_ca_topic_score_gemma":0.00185027,"domain_scores_codex":[0.9997283,0.00002811779,0.00001732713,0.00003860129,0.0001519751,0.00003575593],"domain_scores_gemma":[0.9991601,0.0002751826,0.0001487539,0.00007937195,0.000284239,0.00005248128],"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":[0.0002007916,0.00001175174,0.002420738,0.00004821954,0.000005574028,0.0001256502,0.0001293604,0.0004078517,0.9918373,0.00007994848,0.00004586757,0.004686973],"study_design_scores_gemma":[0.00002356639,0.0009549698,0.05852735,0.00002466193,0.00005327016,0.001477291,0.0004172577,0.01819712,0.9189727,0.0002310002,0.001086507,0.00003434847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672214,0.0004611834,0.03106344,0.00003682659,0.00001470088,0.00001060114,0.00006277613,0.0003047966,0.0008243024],"genre_scores_gemma":[0.9892091,0.00007628146,0.00968613,0.00001430039,0.000004804722,0.000004080384,0.00003241974,0.00002374885,0.0009491593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001369675,"threshold_uncertainty_score":0.004582047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548275437693718,"score_gpt":0.2332515130142851,"score_spread":0.2177687586373479,"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."}}