{"id":"W2044213280","doi":"10.4028/www.scientific.net/msf.638-642.3655","title":"Effect of Post-Weld Heat Treatment on Nd: YAG Laser Welded Ti-6Al-4V Alloy Quality","year":2010,"lang":"en","type":"article","venue":"Materials science forum","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Materials science; Welding; Alloy; Martensite; Microstructure; Metallurgy; Ductility (Earth science); Ultimate tensile strength; Porosity; Composite material; Creep","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007567473,0.0002011051,0.0003064892,0.0001024493,0.0001358292,0.0001018454,0.0003357985,0.0000985202,0.0002707505],"category_scores_gemma":[0.00008898648,0.0001327673,0.00005959192,0.0001491255,0.0002212617,0.0001492143,0.00007146676,0.00006916504,0.00003966901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005474299,"about_ca_system_score_gemma":0.0000240771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005447125,"about_ca_topic_score_gemma":0.0001016263,"domain_scores_codex":[0.9987383,0.00004691677,0.000265629,0.0002481109,0.0002795465,0.00042146],"domain_scores_gemma":[0.9993213,0.0001000967,0.00003898804,0.0004080665,0.00003540058,0.00009614086],"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":[0.00004827097,0.00003460749,0.0003317293,0.00006396143,0.000006049809,0.00000260518,0.00002940471,0.0004190696,0.9978536,0.0002237229,0.000307,0.0006799965],"study_design_scores_gemma":[0.0002282564,0.0009822119,0.001386132,0.00003931044,0.000008392522,0.00000340769,0.0000117349,0.000040657,0.9959876,0.00006393847,0.001096168,0.0001521944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968826,0.000008964596,0.0000143256,0.0002365501,0.001132465,0.00030649,0.00008431668,0.0003003682,0.001033923],"genre_scores_gemma":[0.9993815,0.0000161277,0.0003707035,0.00002789951,0.00006996583,0.00003847847,0.000008287722,0.00001934432,0.00006764874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002498948,"threshold_uncertainty_score":0.5414095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009004160460740833,"score_gpt":0.2776949646966506,"score_spread":0.2686908042359098,"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."}}