{"id":"W2901697305","doi":"","title":"Catalytic Partial Oxidation of Bioethanol for Mobile Fuel Cell Applications","year":2018,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Catalysis; Biofuel; Fuel cells; Partial oxidation; Chemistry; Computer science; Environmental science; Business; Waste management; Chemical engineering; Engineering; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004823517,0.0001530127,0.0001446839,0.0001088643,0.0002083232,0.0004143517,0.0001848233,0.0002107996,0.001517556],"category_scores_gemma":[0.00009491851,0.00006308418,0.0001599946,0.0001300509,0.0000984268,0.000220422,0.0001419117,0.0001965185,0.0003161682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003778686,"about_ca_system_score_gemma":0.0003177044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426464,"about_ca_topic_score_gemma":0.00379017,"domain_scores_codex":[0.9999768,0.000002429089,7.560589e-7,0.000003105128,0.00001252487,0.000004469611],"domain_scores_gemma":[0.9999892,0.000003767855,0.000001512165,0.000001481075,0.000002658813,0.000001409177],"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":[0.0001120856,0.00007927386,0.001589396,0.000485729,0.00002570928,0.0003567125,0.0001368427,0.0535544,0.8530995,0.01662747,0.00126941,0.07266346],"study_design_scores_gemma":[0.00002801337,0.0003997935,0.002882793,0.0000602988,0.00003717382,0.000364239,0.0002462976,0.1723298,0.7665684,0.003297093,0.05376655,0.00001939873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442067,0.00415383,0.02367101,0.0004004467,0.00009692692,0.00005064274,0.0001720871,0.0001957442,0.02705269],"genre_scores_gemma":[0.9884947,0.00201451,0.006040103,0.00001796341,0.000006607353,0.00001369922,0.00009032142,0.000008978436,0.003313127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001517556,"threshold_uncertainty_score":0.005076766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042916572190188,"score_gpt":0.2000692014367281,"score_spread":0.1896400357148262,"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."}}