{"id":"W2028722510","doi":"10.1007/s11661-012-1230-5","title":"Effect of Postweld Heat Treatment on Microstructure, Hardness, and Tensile Properties of Laser-Welded Ti-6Al-4V","year":2012,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Manitoba; National Research Council Canada; Concordia University; McGill University","funders":"","keywords":"Materials science; Ultimate tensile strength; Welding; Microstructure; Annealing (glass); Composite material; Indentation hardness; Metallurgy; Tensile testing; Residual stress","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":[0.00007619348,0.0001414038,0.0003436421,0.00003763507,0.00004424834,0.00002036671,0.00002790429,0.00008243983,0.0001273401],"category_scores_gemma":[0.000002751596,0.0000871969,0.00004828431,0.00003743792,0.00007588047,0.00006476265,0.000004379942,0.00003498017,9.719906e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008262274,"about_ca_system_score_gemma":0.000002241469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001847372,"about_ca_topic_score_gemma":0.000006067831,"domain_scores_codex":[0.9994931,0.00003855159,0.0001785617,0.00009093071,0.00005991141,0.0001389591],"domain_scores_gemma":[0.9998074,0.00002283296,0.00001718541,0.00008296877,0.00001136731,0.000058245],"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":[0.0002261576,0.0001015638,0.00001728502,0.0007226765,0.0001406257,0.000002389667,0.0001113366,0.0004256391,0.996282,0.00002084777,0.00002795117,0.001921501],"study_design_scores_gemma":[0.0003676961,0.0004629331,0.0005146774,0.00009293963,0.0001208227,0.00003410895,0.00001010281,0.00002914867,0.9968462,0.000009735043,0.001417498,0.0000941343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980922,0.0008471495,0.0004114249,0.00002439987,0.0002020338,0.0002178876,0.00007585833,0.00007414186,0.00005485596],"genre_scores_gemma":[0.9987038,0.0009582597,0.0001834868,0.00000299981,0.00002770268,0.00003046827,0.000005341145,0.00001250693,0.00007541636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001827366,"threshold_uncertainty_score":0.3555786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069513315721513,"score_gpt":0.2126863769266621,"score_spread":0.201991243769447,"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."}}