{"id":"W4212827794","doi":"10.1016/j.msea.2022.142827","title":"Laser powder bed fusion of M789 maraging steel on Cr–Mo N709 steel: Microstructure, texture, and mechanical properties","year":2022,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation; Canada Foundation for Innovation","keywords":"Materials science; Electron backscatter diffraction; Microstructure; Maraging steel; Alloy; Martensite; Austenite; Texture (cosmology); Metallurgy; Nanoindentation; Ultimate tensile strength; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.0004500165,0.0002090517,0.0002670869,0.0001659883,0.0002292307,0.0001572237,0.0001879936,0.00004136876,0.0001193162],"category_scores_gemma":[0.00004515253,0.0001751808,0.00001525158,0.0001746959,0.0001058362,0.0001740334,0.0002393919,0.0001062809,0.000001822379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004333996,"about_ca_system_score_gemma":0.00002099195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001567995,"about_ca_topic_score_gemma":4.220971e-7,"domain_scores_codex":[0.9988391,0.00001855629,0.0002322951,0.0002848135,0.0003113695,0.0003138377],"domain_scores_gemma":[0.9996809,0.00002575735,0.00004151875,0.0001346165,0.00004186882,0.00007536334],"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":[0.00002652957,0.000007574679,0.000004198401,0.0002887953,0.000007486824,0.000003472489,0.0001972875,0.005206894,0.9931903,0.0001900809,0.00006256404,0.0008148261],"study_design_scores_gemma":[0.000205713,0.0001089987,0.001629745,0.00008195281,0.000009725697,0.00003163117,0.0001005184,0.002357129,0.9936975,0.00008004612,0.001459776,0.0002373042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986206,0.0002188555,0.00004804549,0.00002756933,0.0006298373,0.0001529676,0.0001004699,0.0001461928,0.00005548668],"genre_scores_gemma":[0.9994701,0.00005533206,0.0002527041,0.00005246668,0.00006987876,0.00003370014,0.000005365578,0.00003259306,0.00002790519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002849764,"threshold_uncertainty_score":0.7143666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009173065772730183,"score_gpt":0.1841935233273179,"score_spread":0.1750204575545877,"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."}}