{"id":"W4387247760","doi":"10.1016/j.mtla.2023.101919","title":"Interplay between microstructure, micromechanical, and tensile properties in wire arc additive manufactured nickel-aluminum bronze: As-built and heat treated","year":2023,"lang":"en","type":"article","venue":"Materialia","topic":"Metallurgy and Material Science","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; University of New Brunswick","funders":"Office of Naval Research","keywords":"Materials science; Ultimate tensile strength; Bronze; Microstructure; Indentation hardness; Nanoindentation; Intermetallic; Aluminium; Plasticity; Hardening (computing); Metallurgy; Indentation; Composite material; Alloy","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":[0.0001318221,0.000100381,0.000126786,0.0001659948,0.0001419203,0.0003552799,0.0001882452,0.000197299,0.001628933],"category_scores_gemma":[0.0002727243,0.0001612223,0.0001071761,0.0001487454,0.0003257537,0.0001783395,0.0001281895,0.0001882858,0.0001898939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002396329,"about_ca_system_score_gemma":0.0001757248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411989,"about_ca_topic_score_gemma":0.004134021,"domain_scores_codex":[0.9998851,0.000009527343,0.000004465737,0.00002875689,0.00005009396,0.00002215587],"domain_scores_gemma":[0.9998678,0.00002746685,0.00004086515,0.00001337059,0.00003573116,0.00001465115],"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":[0.0001515917,0.00001775164,0.001441859,0.000025939,0.00000510704,0.0000630038,0.00007150278,0.0004077399,0.9962992,0.0001114482,0.00004531498,0.001359545],"study_design_scores_gemma":[0.000008967,0.0003048815,0.03646103,0.000003781758,0.00002560966,0.0001194181,0.0001909163,0.00430383,0.9576796,0.00004090945,0.0008495051,0.00001147087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989638,0.00007175592,0.0003358208,0.00000893059,0.000004523407,0.000002343816,0.00004957553,0.00002297487,0.0005402772],"genre_scores_gemma":[0.9992042,0.00002314015,0.0001880014,0.000002963798,9.453139e-7,0.000002110507,0.00002669658,0.000007752382,0.000544206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001628933,"threshold_uncertainty_score":0.005449355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077534743436761,"score_gpt":0.2681130845465627,"score_spread":0.2473377371121951,"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."}}