{"id":"W4285908271","doi":"10.1016/j.jmapro.2022.06.069","title":"The influence of DED process parameters and heat-treatment cycle on the microstructure and hardness of AISI D2 tool steel","year":2022,"lang":"en","type":"article","venue":"Journal of Manufacturing Processes","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Tempering; Scanning electron microscope; Microstructure; Indentation hardness; Composite material; Energy-dispersive X-ray spectroscopy; Metallurgy; Optical microscope","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001879336,0.0001992156,0.0002045151,0.0002711197,0.0002250562,0.0003266786,0.0002012911,0.0002805315,0.00196647],"category_scores_gemma":[0.0005655651,0.0001819527,0.0001978587,0.0003192931,0.0001863627,0.0003161164,0.0001528001,0.0002164016,0.000206739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003239901,"about_ca_system_score_gemma":0.0001818405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002133331,"about_ca_topic_score_gemma":0.004896724,"domain_scores_codex":[0.9998499,0.00001584952,0.00001325207,0.0000338426,0.00005003916,0.00003704083],"domain_scores_gemma":[0.9996392,0.0001544743,0.00004913074,0.00003344624,0.0001012466,0.00002257585],"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":[0.001912232,0.0001507371,0.007816776,0.0002167977,0.00004829679,0.0003069745,0.0001596701,0.007410963,0.9651428,0.0001664026,0.0003738266,0.01629458],"study_design_scores_gemma":[0.00003284436,0.0009378263,0.091514,0.000009941438,0.00005256283,0.0001244698,0.0002398321,0.01041709,0.8947135,0.00007739495,0.001841985,0.00003857597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986904,0.0002161238,0.0002646681,0.00001253922,0.000006881774,0.000003783173,0.0001060854,0.00001529591,0.0006842177],"genre_scores_gemma":[0.9991668,0.00006897989,0.0001484285,0.000007495164,0.000002596334,0.000002171661,0.00006917118,0.000007796697,0.0005265185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002133331,"threshold_uncertainty_score":0.006578505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008713059519602532,"score_gpt":0.2126653983730207,"score_spread":0.2039523388534182,"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."}}