{"id":"W2507203616","doi":"10.1007/s11666-016-0450-4","title":"Processing Parameter Effects and Thermal Properties of Y2Si2O7 Nanostructured Environmental Barrier Coatings Synthesized by Solution Precursor Induction Plasma Spraying","year":2016,"lang":"en","type":"article","venue":"Journal of Thermal Spray Technology","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Materials science; Solution precursor plasma spray; Thermal diffusivity; Thermal conductivity; Coating; Thermal barrier coating; Agglomerate; Volumetric flow rate; Deposition (geology); Porosity; Thermal spraying; Nanoparticle; Composite material; Atmospheric-pressure plasma; Chemical engineering; Plasma; Thermodynamics; Nanotechnology","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":[0.0001874872,0.000226133,0.0001979436,0.0001799485,0.0001383482,0.0002338375,0.0001786436,0.0002338389,0.001273413],"category_scores_gemma":[0.0004128245,0.0001910518,0.000179193,0.000200295,0.000160803,0.0002556042,0.0001059457,0.000243139,0.0001914187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078704,"about_ca_system_score_gemma":0.0001770744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001575532,"about_ca_topic_score_gemma":0.00269248,"domain_scores_codex":[0.9998767,0.000008758229,0.00001058229,0.00002822213,0.00004135721,0.00003426018],"domain_scores_gemma":[0.9997693,0.00006850342,0.00005626464,0.00001728628,0.00007123473,0.0000174464],"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":[0.0001821747,0.000008767692,0.0002843086,0.00003547046,0.000006104483,0.00003651418,0.00003262443,0.0001504591,0.998458,0.00002668257,0.00003239837,0.0007464794],"study_design_scores_gemma":[0.000008097472,0.0001273582,0.004875254,0.000002496209,0.00001282187,0.00002904851,0.00003103937,0.001143435,0.9935043,0.000008159628,0.0002521579,0.000005850463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991531,0.0002030628,0.0002186208,0.000007583889,0.000005762381,0.00000368294,0.00008549729,0.00001105478,0.0003117475],"genre_scores_gemma":[0.9990665,0.0001412018,0.0002759095,0.00000615185,0.000002578554,0.000005027227,0.00009584754,0.00001423699,0.0003925007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001575532,"threshold_uncertainty_score":0.004260004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005068618498366456,"score_gpt":0.1824997416906844,"score_spread":0.1774311231923179,"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."}}