{"id":"W1986864299","doi":"10.1179/1362171813y.0000000163","title":"Effects of concavity on tensile and fatigue properties in fibre laser welding of automotive steels","year":2013,"lang":"en","type":"article","venue":"Science and Technology of Welding & Joining","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"ArcelorMittal (Canada); Toronto Metropolitan University; University of Waterloo","funders":"International Zinc Association; ArcelorMittal","keywords":"Materials science; Welding; Ultimate tensile strength; Alloy; Metallurgy; Composite material; Laser beam welding; Fatigue limit","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":[0.0003230507,0.0003057069,0.0002251773,0.0002758222,0.0002123434,0.0003097187,0.0003714874,0.00037882,0.0008236683],"category_scores_gemma":[0.0007360984,0.0003689487,0.000274711,0.0001921245,0.0004810617,0.0002036362,0.0003216339,0.0002331232,0.0001736709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004292723,"about_ca_system_score_gemma":0.0002028405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002742651,"about_ca_topic_score_gemma":0.006335612,"domain_scores_codex":[0.9996575,0.00004987594,0.0000212677,0.00007788659,0.0001462043,0.00004730557],"domain_scores_gemma":[0.9987936,0.0004354885,0.0003843608,0.00007559598,0.00024119,0.00006967802],"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":[0.0001553582,0.00001016708,0.0008259536,0.00002530714,0.000008307486,0.00003455048,0.00006083596,0.000365397,0.997405,0.00001535398,0.000006180911,0.001087518],"study_design_scores_gemma":[0.000007311989,0.0008087284,0.01938631,0.000006325645,0.00002931819,0.00009494519,0.00005692663,0.00112773,0.9781748,0.00001090644,0.0002841528,0.00001255864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990318,0.0002158277,0.000460564,0.000006651708,0.000001297543,0.000003852688,0.00001348642,0.00001133923,0.0002552155],"genre_scores_gemma":[0.9986222,0.0001137466,0.0006752672,0.000007833076,0.00000187556,0.000003715532,0.00002394107,0.00001224547,0.0005392628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002742651,"threshold_uncertainty_score":0.005453348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009748888944897572,"score_gpt":0.2127096653659833,"score_spread":0.2029607764210857,"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."}}