{"id":"W3095701459","doi":"10.1016/j.matchar.2020.110728","title":"Interface engineering of additively manufactured maraging steel-H13 bimetallic structures","year":2020,"lang":"en","type":"article","venue":"Materials Characterization","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency; Mitacs; New Brunswick Innovation Foundation","keywords":"Bimetal; Materials science; Microstructure; Maraging steel; Nanoindentation; Ultimate tensile strength; Indentation hardness; Metallurgy; Scanning electron microscope; Bimetallic strip; Martensite; Electron backscatter diffraction; Composite material; Metal","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007091972,0.0003063967,0.0004356056,0.00008965735,0.00003641841,0.0001232322,0.0001959093,0.0001057234,0.001958383],"category_scores_gemma":[0.00004889181,0.0002998509,0.00004269248,0.0001229102,0.00002533729,0.0003337089,0.00006647946,0.00007922287,0.00003812803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002420882,"about_ca_system_score_gemma":0.000009618941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003286721,"about_ca_topic_score_gemma":1.570704e-7,"domain_scores_codex":[0.9988311,0.0000353738,0.0004741799,0.0002468073,0.0001597086,0.0002528171],"domain_scores_gemma":[0.9995413,0.00003021315,0.0001547181,0.000135602,0.00005085564,0.00008730841],"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":[0.00004722573,0.000005097065,0.000008933921,0.0007532118,0.00005191469,0.000002752051,0.0003864694,0.002643163,0.9951245,0.00008160139,0.00004839155,0.0008467681],"study_design_scores_gemma":[0.0001963926,0.00004467111,0.01392247,0.00007432272,0.00002430632,0.000003452026,0.00001882565,0.000888187,0.9808432,0.00003144016,0.003665455,0.000287283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758992,0.00004018403,0.02147539,0.00006445083,0.0007621337,0.0002341165,0.001016931,0.000441659,0.00006591756],"genre_scores_gemma":[0.9980854,0.00006081536,0.0004919888,0.00007296116,0.0003893455,0.00002245444,0.0007781028,0.00008472727,0.0000142074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02218618,"threshold_uncertainty_score":0.9999453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024377584821089,"score_gpt":0.1852232881401452,"score_spread":0.1749795122919343,"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."}}