{"id":"W2066553680","doi":"10.1557/proc-1230-mm06-08","title":"Synthesis of LNF Nano Particles for Fuel Cell Applications","year":2009,"lang":"en","type":"article","venue":"MRS Proceedings","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Calcination; Chemical engineering; Metal ions in aqueous solution; Scanning electron microscope; Combustion; Metal; Lanthanum; Nuclear chemistry; Inorganic chemistry; Metallurgy; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000156751,0.0001370916,0.0001690437,0.0001834122,0.0002783033,0.0002262283,0.0001660203,0.0003176823,0.002116191],"category_scores_gemma":[0.0001641809,0.00009670086,0.0001405913,0.00008157703,0.0001116916,0.0002593201,0.000140037,0.0002210279,0.000674337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003824189,"about_ca_system_score_gemma":0.0001828784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006898492,"about_ca_topic_score_gemma":0.001453561,"domain_scores_codex":[0.9999578,0.000004257391,0.000002998673,0.0000120852,0.00001282631,0.00001005535],"domain_scores_gemma":[0.99997,0.000007673819,0.000004315391,0.000003842326,0.000009191543,0.000005073879],"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":[0.00008472271,0.00003432607,0.0001404781,0.0001152393,0.000005403755,0.00007463901,0.00005481264,0.0004792358,0.9830652,0.001244891,0.0005312996,0.01416967],"study_design_scores_gemma":[0.00001264668,0.00006220557,0.0002764612,0.000006494121,0.000004399745,0.00004805458,0.00001450942,0.0009486806,0.9894081,0.0002068078,0.009007142,0.00000452262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210887,0.004771295,0.04884683,0.0006623851,0.0003318027,0.0001486898,0.0005129119,0.0003260919,0.02331126],"genre_scores_gemma":[0.9606864,0.0009601862,0.02389604,0.0001573903,0.00003215583,0.00009625579,0.0003323537,0.00006642742,0.01377276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002116191,"threshold_uncertainty_score":0.007079422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454799444024639,"score_gpt":0.2647525263412987,"score_spread":0.2502045319010523,"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."}}