{"id":"W4310060937","doi":"10.1016/j.pmatsci.2022.101051","title":"Heat treatment for metal additive manufacturing","year":2022,"lang":"en","type":"article","venue":"Progress in Materials Science","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":491,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Australian Research Council; Department of Industry, Science, Energy and Resources, Australian Government; Deakin University","keywords":"Materials science; Microstructure; Residual stress; Metallurgy; Superalloy; Corrosion","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":[0.0004616061,0.0001843743,0.0002395864,0.000167132,0.0003502325,0.0001598254,0.0003342383,0.00001904835,0.0008060259],"category_scores_gemma":[0.00001277129,0.000164496,0.00002946239,0.0001381115,0.0001960007,0.0002524728,0.0001428593,0.00004111834,0.000008023798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002941496,"about_ca_system_score_gemma":0.00004374209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009051974,"about_ca_topic_score_gemma":0.000002595407,"domain_scores_codex":[0.9987463,0.00003220041,0.0002019078,0.0003235367,0.0002364469,0.0004595836],"domain_scores_gemma":[0.9996948,0.0000520734,0.00002245283,0.0001564624,0.00002074141,0.00005341967],"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":[0.0005348649,0.0004539646,0.0003574155,0.0008254423,0.0001101935,0.0001192702,0.003381258,0.02401273,0.8216679,0.001754806,0.0005928904,0.1461893],"study_design_scores_gemma":[0.0003253135,0.0001571448,0.0008380484,0.00001246675,0.000006968899,0.00001067246,0.00009745426,0.0003062757,0.9866211,0.0004808436,0.01094083,0.0002029027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963208,0.0002904166,0.0001341054,0.00004354431,0.001600618,0.0005276731,0.0006773927,0.0001808441,0.0002245978],"genre_scores_gemma":[0.997049,0.00003536444,0.0009832142,0.00001568531,0.0001157598,0.001703473,0.00004306237,0.00002710127,0.00002736797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1649532,"threshold_uncertainty_score":0.8825418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184398241667618,"score_gpt":0.2641555847118076,"score_spread":0.2457157605450458,"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."}}