{"id":"W2767863716","doi":"10.1016/j.ssi.2017.10.024","title":"Amperometric solid electrolyte NO x sensors – The effect of temperature and diffusion mechanisms","year":2017,"lang":"en","type":"article","venue":"Solid State Ionics","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Knudsen diffusion; Diffusion; NOx; Chemistry; Electrolyte; Oxygen sensor; Mechanism (biology); Materials science; Analytical Chemistry (journal); Thermodynamics; Electrode; Oxygen; Chromatography; Porosity; Physical chemistry; Composite material; Combustion","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006662336,0.0006409464,0.0004731861,0.0001153315,0.0001975508,0.0005032336,0.0008084298,0.0008135511,0.0009516902],"category_scores_gemma":[0.001496326,0.0004644966,0.0002915123,0.0001152466,0.0008924421,0.001424232,0.0002806872,0.0007060687,0.0004386811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002787072,"about_ca_system_score_gemma":0.000226158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003427073,"about_ca_topic_score_gemma":0.0005430725,"domain_scores_codex":[0.9995034,0.0001540924,0.00003658317,0.0001150491,0.0001493311,0.0000416359],"domain_scores_gemma":[0.9992362,0.0004485936,0.00009323804,0.00009757146,0.0000934385,0.00003101398],"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":[0.000439078,0.00002516357,0.0001122504,0.00008498061,0.000008627389,0.00003422235,0.00002308452,0.0001914739,0.9961541,0.0003185471,0.00006055737,0.002547871],"study_design_scores_gemma":[0.00001098033,0.0001153065,0.0003386926,0.000005517772,0.000007923397,0.0001373015,0.000009987754,0.002031102,0.9964737,0.0001556925,0.0007052554,0.000008556221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633384,0.01210849,0.01956601,0.0005442365,0.0003424805,0.00005451869,0.0002419699,0.0002928092,0.003511031],"genre_scores_gemma":[0.9796277,0.004397202,0.01092637,0.0002102693,0.00007844939,0.00003471387,0.0002937895,0.00005943033,0.004372094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009516902,"threshold_uncertainty_score":0.003523409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003730909849510793,"score_gpt":0.2135341640680777,"score_spread":0.2098032542185669,"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."}}