{"id":"W2080029053","doi":"10.1016/j.matdes.2013.10.087","title":"Tensile properties of fiber laser welded joints of high strength low alloy and dual-phase steels at warm and low temperatures","year":2013,"lang":"en","type":"article","venue":"Materials & Design (1980-2015)","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; International Zinc Association; ArcelorMittal","keywords":"Materials science; Ultimate tensile strength; Welding; Alloy; Composite material; Dual-phase steel; Metallurgy; Phase (matter); Fiber; Microstructure; Chemistry; Martensite","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002304743,0.000388024,0.0007518076,0.00008971366,0.00007264518,0.000108656,0.0001413883,0.0002228578,0.0008770148],"category_scores_gemma":[0.00005292717,0.0002762541,0.00004732261,0.00006404312,0.0001635016,0.0002776207,0.000157111,0.0001082915,0.00005186971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002812802,"about_ca_system_score_gemma":0.000021063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002291049,"about_ca_topic_score_gemma":0.000008138583,"domain_scores_codex":[0.9982882,0.0001106004,0.0006478997,0.0003393386,0.0002179609,0.0003960195],"domain_scores_gemma":[0.9991306,0.0000520685,0.0001343857,0.0003726994,0.0001531268,0.0001571322],"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":[0.0001640159,0.00005486904,0.000006244374,0.0008456944,0.0000994611,0.000007199198,0.000420197,0.0001389255,0.9927524,0.00001988797,0.005153073,0.0003379828],"study_design_scores_gemma":[0.001418646,0.0002817005,0.0001393224,0.000351449,0.0000594973,0.00002749898,0.000074795,0.0001200285,0.9966262,0.00009887076,0.000463482,0.0003385388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973171,0.001151645,0.00001482006,0.0000746686,0.000366441,0.0008063643,0.0001439812,0.0001001646,0.00002478943],"genre_scores_gemma":[0.9975552,0.0002174723,0.001000243,0.00007273733,0.00009956292,0.00005216497,0.00002345222,0.00007566807,0.0009034915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004689591,"threshold_uncertainty_score":0.9999689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196350002248913,"score_gpt":0.2014552664284374,"score_spread":0.1894917664059482,"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."}}