{"id":"W2336160204","doi":"10.1080/13621718.2015.1132127","title":"Distortion and residual stresses in electron beam-welded hydroelectric turbine materials","year":2016,"lang":"en","type":"article","venue":"Science and Technology of Welding & Joining","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Residual stress; Welding; Materials science; Ultimate tensile strength; Electron beam welding; Butt joint; Composite material; Joint (building); Beam (structure); Turbine; Metallurgy; Cathode ray; Structural engineering; Mechanical engineering; Electron; Engineering","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":[0.0001866282,0.0001984249,0.0001802642,0.000185319,0.0001229026,0.0002305958,0.0001918962,0.0001921846,0.0007339148],"category_scores_gemma":[0.0003504752,0.0002748868,0.00009339025,0.0001526296,0.0003544286,0.0002125592,0.0001824023,0.0001777951,0.0001529635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002249069,"about_ca_system_score_gemma":0.0001339705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006809043,"about_ca_topic_score_gemma":0.001509014,"domain_scores_codex":[0.999856,0.000009544581,0.000007395293,0.00002735686,0.0000806655,0.0000190363],"domain_scores_gemma":[0.999777,0.00004915133,0.0000739419,0.000031437,0.00005228775,0.00001617531],"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":[0.00003506003,0.000003108362,0.0007017294,0.00002142466,0.000001862521,0.00007648488,0.00006529887,0.0003970258,0.9975054,0.00004426478,0.0000102123,0.001138103],"study_design_scores_gemma":[0.000006718468,0.0002419308,0.03308067,0.000005320923,0.000006538321,0.0002914041,0.0001008879,0.002579421,0.9628175,0.00002902316,0.00083233,0.000008265425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975494,0.0001681424,0.001799852,0.000006483823,0.000003069215,0.000004429226,0.00002360375,0.00002905964,0.0004159782],"genre_scores_gemma":[0.9980721,0.00006360585,0.001227188,0.000003876549,0.000001031013,0.000003550073,0.00003487527,0.00001117899,0.0005825373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007339148,"threshold_uncertainty_score":0.002455175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005174318100223652,"score_gpt":0.2136781964262461,"score_spread":0.2085038783260225,"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."}}