{"id":"W2018325600","doi":"10.1115/smasis2014-7499","title":"The Effect of Laser Welds on the Thermomechanical Fatigue of NiTi Shape Memory Alloys","year":2014,"lang":"en","type":"article","venue":"","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smarter Alloys (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nickel titanium; Materials science; Shape-memory alloy; Welding; Brittleness; Intermetallic; Metallurgy; Ultimate tensile strength; Fatigue limit; Pseudoelasticity; Composite material; Martensite; Microstructure; Alloy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002707005,0.000240345,0.0002547488,0.0002745413,0.0002395754,0.0002343638,0.000281507,0.0003792294,0.001501054],"category_scores_gemma":[0.0006103936,0.0001608869,0.0002492054,0.0002161105,0.0002889834,0.0003233662,0.0001949586,0.0002417792,0.000284149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002507618,"about_ca_system_score_gemma":0.000120159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009510159,"about_ca_topic_score_gemma":0.001492509,"domain_scores_codex":[0.9997981,0.00001832627,0.00001592683,0.00003541866,0.00009279322,0.00003928363],"domain_scores_gemma":[0.9995234,0.0001964198,0.00009566558,0.00005762068,0.0001058134,0.00002108367],"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":[0.0001030607,0.00001897468,0.0003119127,0.00005206041,0.000005250073,0.00005969649,0.00009628679,0.0002841672,0.9955155,0.00003817345,0.00002610462,0.0034888],"study_design_scores_gemma":[0.000002855003,0.0004326519,0.003535379,0.000004754784,0.00000871306,0.00005733458,0.00004101345,0.0008034817,0.9946925,0.0000109453,0.0004052827,0.000005125741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959104,0.001597182,0.001229822,0.00002579112,0.00001657557,0.00001216461,0.00003782645,0.00005653594,0.001113774],"genre_scores_gemma":[0.9977246,0.0004083235,0.0006913688,0.00002607107,0.000005692292,0.000007967136,0.00003110847,0.00002086571,0.001084001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001501054,"threshold_uncertainty_score":0.005021513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755317194444652,"score_gpt":0.2516742673041418,"score_spread":0.2341210953596953,"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."}}