{"id":"W4384937990","doi":"10.1016/j.matchar.2023.113204","title":"Comparative assessment of gas and water atomized powders for additive manufacturing of 316 L stainless steel: Microstructure, mechanical properties, and corrosion resistance","year":2023,"lang":"en","type":"article","venue":"Materials Characterization","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Materials science; Microstructure; Ultimate tensile strength; Work hardening; Composite material; Grain boundary; Toughness; Metallurgy; Grain size","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003057098,0.000358618,0.0003213097,0.0004460706,0.000152266,0.0002667486,0.0002907426,0.000352473,0.000487203],"category_scores_gemma":[0.000388599,0.0001797393,0.0004399148,0.0003371091,0.0002006834,0.0002466078,0.0001794689,0.000221356,0.0001733837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002254531,"about_ca_system_score_gemma":0.0001506659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000627409,"about_ca_topic_score_gemma":0.00223256,"domain_scores_codex":[0.9995654,0.00005669631,0.00003765087,0.0000522912,0.0002544626,0.00003343433],"domain_scores_gemma":[0.9997773,0.00003320296,0.00007381589,0.000017904,0.00008026695,0.00001764164],"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":[0.00008041002,0.00001019302,0.0004379899,0.00007209963,0.00001122269,0.00007466622,0.00002343846,0.0001535457,0.9968908,0.00002086418,0.00001307633,0.002211676],"study_design_scores_gemma":[0.000007191323,0.0006800591,0.007636185,0.000006810673,0.00005079693,0.0001773099,0.00006124948,0.0008612237,0.989184,0.00001633764,0.001309494,0.000009215086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940428,0.001208222,0.003816778,0.00002531872,0.00001536924,0.00002706239,0.0001224469,0.00003892615,0.0007029333],"genre_scores_gemma":[0.992585,0.0005905917,0.0058337,0.00001881113,0.00000656609,0.0000175714,0.0001385037,0.00002609075,0.0007832196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000627409,"threshold_uncertainty_score":0.00163579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214187293622543,"score_gpt":0.2369844080359849,"score_spread":0.2155656786737306,"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."}}