{"id":"W4402191562","doi":"10.1007/s11665-024-10011-w","title":"In Situ Pre-heating in Wire Arc Additive Manufacturing: Design, Development, and Experimental Investigation on Residual Stresses and Metallurgical and Mechanical Properties","year":2024,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Materials science; Residual stress; Metallurgy; In situ; Arc (geometry); Mechanical engineering; Engineering","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":[0.0003215507,0.0001707077,0.0002568289,0.0001550367,0.00003609941,0.0001959949,0.00003484788,0.00006612376,0.00001087602],"category_scores_gemma":[0.00002303384,0.000142097,0.000006451394,0.00003252608,0.00003243556,0.0004105705,0.00003479683,0.000144848,3.228262e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002961561,"about_ca_system_score_gemma":0.00001520783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000573388,"about_ca_topic_score_gemma":0.000002742676,"domain_scores_codex":[0.9992489,0.00002625017,0.0003379696,0.0001359811,0.00009953134,0.0001514342],"domain_scores_gemma":[0.9997804,0.00008289182,0.00003810229,0.00002827198,0.000009207981,0.00006108918],"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":[0.0003500343,0.00002335361,0.00004547206,0.003295085,0.00008216826,0.0001362992,0.004943424,0.0278133,0.9578214,0.00005490593,0.000022748,0.005411847],"study_design_scores_gemma":[0.0002745961,0.0001557191,0.006036532,0.001560474,0.00000755937,0.0001608338,0.00008746717,0.003825522,0.9875466,0.00002457967,0.0001546041,0.0001654849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975228,0.002027824,0.0001202715,0.00001914761,0.0001775883,0.00009110471,0.000005685655,0.00002974645,0.000005823008],"genre_scores_gemma":[0.9975921,0.00103399,0.001209556,0.000007142499,0.0001136518,0.00001378897,0.000002040041,0.00002146449,0.000006283503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02972527,"threshold_uncertainty_score":0.5794547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381052180730161,"score_gpt":0.2157529491738198,"score_spread":0.1919424273665182,"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."}}