{"id":"W3131456488","doi":"10.3390/ma14040911","title":"Thermo-Mechanical Modeling of Wire-Fed Electron Beam Additive Manufacturing","year":2021,"lang":"en","type":"article","venue":"Materials","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Residual stress; Ultimate tensile strength; Thermocouple; Composite material; Microstructure; Substrate (aquarium); Distortion (music); Beam (structure); Finite element method; Residual; Structural 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001536037,0.0002278619,0.0004228022,0.00004601574,0.00005331188,0.00007497169,0.0001390834,0.0001146756,0.002777343],"category_scores_gemma":[0.00003492038,0.0002176126,0.0000574305,0.00004651709,0.00001998842,0.0001234373,0.00007389578,0.0000762852,0.00004593118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003500122,"about_ca_system_score_gemma":0.00002590519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001869608,"about_ca_topic_score_gemma":0.000004034178,"domain_scores_codex":[0.9988324,0.00004893255,0.0003935843,0.0002367042,0.0001552406,0.0003331535],"domain_scores_gemma":[0.9995525,0.00005311083,0.0000621951,0.0002166803,0.00006161644,0.00005392255],"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":[0.00004281224,0.00001844077,3.827691e-7,0.0002571067,0.00006926193,0.00001738631,0.00008787265,0.004869072,0.9935662,0.000218692,0.0001273038,0.0007254712],"study_design_scores_gemma":[0.0002006866,0.00003472791,0.00004773258,0.00009076323,0.00002520581,0.00001311955,0.00005114328,0.0004903425,0.9963999,0.001814489,0.0005974724,0.0002344533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938692,0.0001510059,0.002945106,0.00001421111,0.0006189579,0.0001107594,0.0002980044,0.0002319301,0.001760853],"genre_scores_gemma":[0.9988489,0.0001774058,0.0003654565,0.00002936482,0.0002887336,0.00002951946,0.00014092,0.00006230138,0.00005745645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00497967,"threshold_uncertainty_score":0.9981343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108811546650386,"score_gpt":0.211395498341281,"score_spread":0.2005143436762424,"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."}}