{"id":"W3005944561","doi":"10.1007/978-3-030-36296-6_26","title":"Hybrid Additive Manufacturing of MS1-H13 Steels via Direct Metal Laser Sintering","year":2020,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Direct metal laser sintering; Materials science; Sintering; Scanning electron microscope; Substrate (aquarium); Metallurgy; Die (integrated circuit); Bimetal; Selective laser sintering; Optical microscope; Composite material; Nanotechnology; Microstructure","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0004868096,0.001571669,0.002674975,0.0002399542,0.0002152858,0.0003826275,0.0008510274,0.0003558288,0.00750469],"category_scores_gemma":[0.00004066718,0.001241208,0.0004866169,0.00004446827,0.000413605,0.0006525913,0.0005292626,0.0004136781,0.000392837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009441083,"about_ca_system_score_gemma":0.00004868767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007334778,"about_ca_topic_score_gemma":0.0000409397,"domain_scores_codex":[0.9959555,0.0001573834,0.001648517,0.0008779914,0.0006179714,0.0007426814],"domain_scores_gemma":[0.9977498,0.0002596607,0.0008006693,0.0008338655,0.0001594638,0.000196522],"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":[0.0005785754,0.00004110378,2.016172e-7,0.004740846,0.003226381,0.0003507961,0.0005279313,0.001887003,0.9752152,0.002311768,0.008715489,0.002404727],"study_design_scores_gemma":[0.0002185834,0.0001321703,0.000009370875,0.0004147394,0.0004983423,0.00008149936,0.00002535771,0.000008176626,0.7600095,0.003964761,0.2336664,0.0009711161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3518083,0.0085819,0.00187768,0.0004392549,0.01963621,0.00535772,0.0499282,0.004588319,0.5577824],"genre_scores_gemma":[0.9202477,0.001326548,0.0003491706,0.0001318355,0.001925051,0.0001760168,0.001141126,0.0005988515,0.07410371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5684394,"threshold_uncertainty_score":0.9997032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310212539063865,"score_gpt":0.1958572701338085,"score_spread":0.1827551447431699,"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."}}