{"id":"W4412714632","doi":"10.2172/2573235","title":"Developing tools and process controls to manufacture energy-efficient powders for additive manufacturing feedstocks","year":2025,"lang":"en","type":"report","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fédération des Comités de Parents du Québec","funders":"Oak Ridge National Laboratory; UT-Battelle; Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; Battelle","keywords":"Process engineering; Process (computing); Manufacturing engineering; Manufacturing process; Computer science; Materials science; Engineering; 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":[0.001411653,0.000725012,0.0005038989,0.0008124463,0.0003676575,0.001729391,0.001250371,0.0006319478,0.001428798],"category_scores_gemma":[0.001754766,0.0005056795,0.0004124065,0.000666749,0.0006335691,0.001234027,0.000696941,0.0009472132,0.0008281419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007712385,"about_ca_system_score_gemma":0.001457815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109149,"about_ca_topic_score_gemma":0.001354187,"domain_scores_codex":[0.9988493,0.00005733763,0.00006680328,0.0001139838,0.0008411846,0.00007145604],"domain_scores_gemma":[0.9992073,0.0001968579,0.0001563938,0.0001749809,0.0002365305,0.00002796569],"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":[0.0001112611,0.0002349742,0.001905496,0.000912732,0.00003950603,0.0002707908,0.0001912188,0.09703215,0.6807134,0.03282869,0.002658336,0.1831015],"study_design_scores_gemma":[0.00007197386,0.000352821,0.002336113,0.0001017669,0.00002941079,0.0002254068,0.00009271783,0.2093028,0.7394382,0.005846073,0.04215502,0.00004762534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05499371,0.0009843505,0.9295861,0.0001751333,0.0001012045,0.0003702155,0.000318022,0.002965205,0.01050603],"genre_scores_gemma":[0.2860411,0.001204853,0.7086036,0.00005738577,0.00002409247,0.0003586224,0.0004536016,0.0003877257,0.002868984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001729391,"threshold_uncertainty_score":0.007465601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585365222184355,"score_gpt":0.2741701538060006,"score_spread":0.248316501584157,"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."}}