{"id":"W2161874888","doi":"10.1149/05822.0031ecst","title":"Mixed Ion and Electron Conducting Ceramics for Gas Sensors","year":2014,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Resources Canada; Carbon Management Canada; Alberta Innovates - Technology Futures","keywords":"Ceramic; Materials science; Fourier transform infrared spectroscopy; Ion; Perovskite (structure); Analytical Chemistry (journal); Scanning electron microscope; Chemical engineering; Chemistry; Composite material; Crystallography; Environmental chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008918974,0.0001027685,0.0001275507,0.00004919393,0.0001335783,0.00003914703,0.00002239969,0.00006724973,0.000009099331],"category_scores_gemma":[0.00001072909,0.0001095475,0.00004033054,0.00005136613,0.00001867048,0.00006108371,6.320519e-7,0.00006983813,0.000004414578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002194477,"about_ca_system_score_gemma":0.000003393219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001058928,"about_ca_topic_score_gemma":0.00002770771,"domain_scores_codex":[0.9994921,0.00001842474,0.0001305687,0.0001147048,0.0000414104,0.0002027566],"domain_scores_gemma":[0.9997509,0.00007953146,0.00001432327,0.00008570766,0.00002242719,0.00004717772],"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":[0.00001210361,0.00001254689,0.000009299535,0.00007646043,0.00003973482,4.489709e-7,0.000380645,0.08442792,0.9101539,0.0003324584,0.0001341409,0.004420316],"study_design_scores_gemma":[0.0006003308,0.0001047723,0.0002149885,0.00002121424,0.00006614839,0.00004772837,0.0001552557,0.254677,0.7338472,0.0003582645,0.009631382,0.0002757513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555302,0.00002187642,0.04298373,0.0001149358,0.0006844813,0.0001177283,0.00001003417,0.0002357376,0.0003012552],"genre_scores_gemma":[0.9961284,0.00004218909,0.003570017,0.00001090545,0.0001082827,0.00000547834,0.000006376739,0.00003371869,0.00009466065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1763068,"threshold_uncertainty_score":0.4467219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179879257032944,"score_gpt":0.2165237968384671,"score_spread":0.1947250042681377,"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."}}