{"id":"W2019988070","doi":"10.1016/j.jpowsour.2007.04.024","title":"Plasma spray synthesis of ultra-fine YSZ powder","year":2007,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Innovation Council; National Research Council Canada","funders":"","keywords":"Yttria-stabilized zirconia; Materials science; Particle size; Thermogravimetric analysis; Cubic zirconia; Chemical engineering; Specific surface area; Thermal spraying; Oxide; Grain size; Spray drying; Transmission electron microscopy; Solution precursor plasma spray; BET theory; Scanning electron microscope; Analytical Chemistry (journal); Metallurgy; Nanotechnology; Ceramic; Composite material; Chemistry; Organic chemistry; Catalysis","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001843685,0.0001699023,0.0004288688,0.0002019596,0.000062664,0.000035908,0.0005216068,0.00008373847,0.002031003],"category_scores_gemma":[0.0005959958,0.0001303741,0.0001554367,0.0001742545,0.0001983021,0.000343959,0.00004612683,0.0001752718,0.00008556115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006518907,"about_ca_system_score_gemma":0.00005337112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004829,"about_ca_topic_score_gemma":0.000005704789,"domain_scores_codex":[0.9977424,0.0000689251,0.0009561948,0.0001559391,0.0007183281,0.0003582495],"domain_scores_gemma":[0.9975806,0.0006114182,0.001143659,0.0002512731,0.0002613197,0.0001517032],"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":[0.000226924,0.0001765171,0.003609335,0.00003609059,0.00004259335,0.00007886631,0.001018996,0.0002295015,0.9925311,0.0001103777,0.001047313,0.0008923885],"study_design_scores_gemma":[0.000380836,0.0002146682,0.001565592,0.0001135398,0.0000440025,0.0001276575,0.0009147397,0.000001346615,0.9732491,0.0001698548,0.02307693,0.0001417099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867754,0.0004229508,0.003205423,0.0001272973,0.001221363,0.00006428079,0.00001000821,0.00001369891,0.008159598],"genre_scores_gemma":[0.988232,0.00003027349,0.01092871,0.00008011974,0.0002428565,5.464088e-7,1.436759e-7,0.00002312725,0.0004621945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02202962,"threshold_uncertainty_score":0.9988813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046145424414938,"score_gpt":0.2613716990979877,"score_spread":0.2509102448538383,"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."}}