{"id":"W4386563944","doi":"10.1007/s11661-023-07191-w","title":"Liquid Phase Sintering of a Metal Injection Molded Nickel-Based Superalloy With Additions of BNi-2 Alloy Powder Using Differential Scanning Calorimetry","year":2023,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Intermetallics and Advanced Alloy Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Materials science; Differential scanning calorimetry; Superalloy; Sintering; Microstructure; Alloy; Metallurgy; Grain growth; Grain size; Scanning electron microscope; Isothermal process; Composite material","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":[0.0002816283,0.0002751629,0.0003982569,0.0003131916,0.0003009367,0.0002267189,0.0003836548,0.0002334054,0.001975453],"category_scores_gemma":[0.0002480744,0.0001729354,0.0001857181,0.0004140125,0.0002897062,0.000329807,0.0001518374,0.000370509,0.0003446834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003768916,"about_ca_system_score_gemma":0.0004174654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002604416,"about_ca_topic_score_gemma":0.005242376,"domain_scores_codex":[0.9997696,0.00001835769,0.00002106185,0.00005063291,0.0001046308,0.00003561831],"domain_scores_gemma":[0.9998711,0.00003017606,0.00002276612,0.00002110026,0.00004503764,0.000009739952],"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":[0.0001384413,0.00001255426,0.0001557227,0.00003642373,0.000003891164,0.00004171559,0.00004370027,0.0001761149,0.9979168,0.0001263191,0.00007514473,0.001273148],"study_design_scores_gemma":[0.000004629623,0.00004178431,0.0006868898,0.000001807793,0.000002509189,0.00001192684,0.00001987574,0.001133286,0.9976387,0.00001067403,0.0004455372,0.000002436522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903374,0.0003449681,0.00506686,0.00007159397,0.00004545914,0.00003485187,0.0004586873,0.0001809453,0.003459288],"genre_scores_gemma":[0.9916472,0.0002004531,0.004288643,0.00001802606,0.000008851958,0.00002905409,0.0005563787,0.00008076547,0.003170633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002604416,"threshold_uncertainty_score":0.006608546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989330032806859,"score_gpt":0.2418387334843021,"score_spread":0.2219454331562335,"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."}}