{"id":"W2620464176","doi":"10.14447/jnmes.v12i4.200","title":"Characterization of Nb and W Doped Titania as Catalyst Supports for Proton Exchange Membrane Fuel Cells","year":2009,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Automotive Fuel Cell Cooperation (Canada); University of Toronto","funders":"","keywords":"Materials science; X-ray photoelectron spectroscopy; Calcination; Anatase; Rutile; Doping; Niobium; Proton exchange membrane fuel cell; Catalysis; Chemical engineering; Conductivity; Titanium; Tungsten; Inorganic chemistry; Nuclear chemistry; Metallurgy; Fuel cells; Chemistry; Photocatalysis; Physical chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000190559,0.000231214,0.0002891744,0.0004078909,0.0002672412,0.0004532818,0.0003982185,0.0004612426,0.000919449],"category_scores_gemma":[0.0006412957,0.0001915158,0.0002035717,0.000289839,0.0001777004,0.0002379114,0.000141528,0.0002174333,0.0003090627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001912722,"about_ca_system_score_gemma":0.0002190196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001005788,"about_ca_topic_score_gemma":0.002080235,"domain_scores_codex":[0.9997552,0.00002079086,0.00002558449,0.00003406761,0.0001369211,0.00002743336],"domain_scores_gemma":[0.9997501,0.00006567597,0.00002939542,0.00002484396,0.0001014279,0.00002848673],"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":[0.00004014561,0.000007365056,0.0002240915,0.0000342378,0.000004863002,0.00004951641,0.00001745759,0.000114988,0.9987208,0.00002356211,0.00001285602,0.000750048],"study_design_scores_gemma":[0.000005678843,0.0001090132,0.002327114,0.000006169224,0.00001271797,0.00009420568,0.000037131,0.001244131,0.9952231,0.00002043383,0.0009166089,0.000003685235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962978,0.000614011,0.001435859,0.00003198841,0.00001377923,0.00002695667,0.0002488461,0.00003317324,0.00129768],"genre_scores_gemma":[0.9950877,0.0003693621,0.002170115,0.00001535649,0.000006280078,0.00003526154,0.000461791,0.00002646771,0.00182766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001005788,"threshold_uncertainty_score":0.003075898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006228650301571626,"score_gpt":0.2103732310745577,"score_spread":0.204144580772986,"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."}}