{"id":"W2150484216","doi":"10.4028/www.scientific.net/amr.891-892.1539","title":"Influence of Heat Treatment on Fatigue Resistance of Electron Beam Welded Dissimilar Titanium Alloy Joints","year":2014,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Welding; Microstructure; Joint (building); Softening; Titanium alloy; Composite material; Fatigue limit; Metallurgy; Electron beam welding; Cyclic stress; Alloy; Cathode ray; Structural engineering; Electron","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":[0.000233521,0.0002579543,0.0003240615,0.0002376235,0.0001576153,0.0002069354,0.000165968,0.0002950586,0.0008890052],"category_scores_gemma":[0.0006734511,0.0001749836,0.0002179231,0.0001261408,0.0002013203,0.0002752334,0.0001427567,0.0001948713,0.0001238035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665243,"about_ca_system_score_gemma":0.00008920172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007479973,"about_ca_topic_score_gemma":0.001489061,"domain_scores_codex":[0.9997988,0.00003353179,0.00002141432,0.00003976158,0.00006154695,0.00004490148],"domain_scores_gemma":[0.9996572,0.0001031663,0.00008565683,0.00003533513,0.0000964793,0.00002216067],"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":[0.0002189481,0.00002464485,0.001273869,0.00007165719,0.00001954211,0.00005698746,0.00005527098,0.0003955895,0.9944785,0.00001148703,0.00001471168,0.003378768],"study_design_scores_gemma":[0.00001294157,0.001022793,0.02075795,0.000005323382,0.00005306536,0.000117217,0.00006270016,0.001449905,0.9759378,0.00001090691,0.0005579835,0.00001143722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985096,0.0007132123,0.0005574491,0.000009184634,0.000009833219,0.000006833947,0.00002196088,0.0000150813,0.0001567727],"genre_scores_gemma":[0.9990813,0.0001567196,0.0003996917,0.00001102053,0.000004469784,0.000004892048,0.0000305357,0.000009182577,0.0003021801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008890052,"threshold_uncertainty_score":0.002974033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02879006474946351,"score_gpt":0.3314046849828744,"score_spread":0.3026146202334109,"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."}}