{"id":"W2515888483","doi":"10.4028/www.scientific.net/kem.704.282","title":"Induction Plasma Technology Applied to Powder Manufacturing: Example of Titanium-Based Materials","year":2016,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tekna Plasma Systems (Canada)","funders":"","keywords":"Materials science; Powder metallurgy; Porosity; Titanium; Metallurgy; Plasma; Inductively coupled plasma; Titanium powder; Process engineering; Microstructure; Composite material; Engineering","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":[0.0003737269,0.0004063754,0.0004365717,0.0008872938,0.0005684749,0.0009738922,0.0006467146,0.001016578,0.001964103],"category_scores_gemma":[0.0003827541,0.0002564376,0.0006006921,0.001787493,0.0006054897,0.0008574716,0.0004977505,0.0009759575,0.001570957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006314595,"about_ca_system_score_gemma":0.0003382282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004714828,"about_ca_topic_score_gemma":0.0005566934,"domain_scores_codex":[0.9995561,0.00005218699,0.00002142471,0.00006665797,0.0002629877,0.00004063327],"domain_scores_gemma":[0.999885,0.00003994593,0.00001162628,0.00001909067,0.00003785342,0.000006371557],"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":[0.0001700412,0.0001387953,0.0005941234,0.00402668,0.0000556747,0.002293684,0.0008011043,0.003126796,0.6967614,0.05013118,0.00734117,0.2345595],"study_design_scores_gemma":[0.00003047718,0.0005441591,0.002093449,0.0002166297,0.00006950224,0.005088754,0.0002428039,0.006202178,0.6039221,0.01290662,0.3686367,0.00004677887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1334962,0.2100094,0.3305848,0.003228367,0.00167407,0.0003614615,0.0005124124,0.001193333,0.3189399],"genre_scores_gemma":[0.6828158,0.124409,0.1497261,0.0005898588,0.0004523221,0.0001650248,0.0003188453,0.0002730104,0.04124994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001964103,"threshold_uncertainty_score":0.006570518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217040770168966,"score_gpt":0.1913151285772737,"score_spread":0.179144720875584,"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."}}