{"id":"W3025964732","doi":"10.1149/ma2020-01381690mtgabs","title":"Enhancing the Stability and Performance of Mo-Doped Titanium Suboxide Fuel Cell Catalyst Supports","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Materials science; Dopant; Corrosion; Anode; Carbon black; Doping; Electrolyte; Catalysis; Catalyst support; Durability; Chemical engineering; Nanotechnology; Composite material; Electrode; Metallurgy; Metal; Chemistry; Optoelectronics","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":[0.0001161753,0.0003198918,0.0002269856,0.0003719708,0.0002209448,0.0005780648,0.0004544532,0.0004434156,0.001073685],"category_scores_gemma":[0.0003627899,0.0001900283,0.0002884092,0.0002141651,0.0001170428,0.0003755932,0.0003269715,0.0004071322,0.0004807897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002983556,"about_ca_system_score_gemma":0.000182024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007208586,"about_ca_topic_score_gemma":0.001384358,"domain_scores_codex":[0.9998096,0.000006462205,0.00002147075,0.00004181761,0.00008590551,0.00003483152],"domain_scores_gemma":[0.9998096,0.000026915,0.00004399545,0.00002159288,0.00007025326,0.00002779481],"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":[0.00004431727,0.00001719942,0.0002817838,0.00003473089,0.000007795325,0.00004055878,0.00001369595,0.0001323303,0.9973747,0.00007599588,0.00003899206,0.001937828],"study_design_scores_gemma":[0.000002453329,0.00006089669,0.0005254007,0.000003077892,0.000007111791,0.00002743327,0.00001006,0.0008082329,0.9979208,0.000007822859,0.0006236094,0.000003092512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959163,0.0005356084,0.001609346,0.00004467851,0.00003116336,0.00001391921,0.0001480882,0.00007436665,0.001626591],"genre_scores_gemma":[0.9956152,0.0003003892,0.002382888,0.00001779624,0.000008431543,0.00001750363,0.0002210133,0.00002668339,0.001410155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001073685,"threshold_uncertainty_score":0.003591835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008965475623480526,"score_gpt":0.183120297945002,"score_spread":0.1741548223215215,"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."}}