{"id":"W2098337820","doi":"10.1016/j.jpowsour.2008.08.034","title":"Sensing electrodes for failure diagnostics in fuel cells","year":2008,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electrode; Fuel cells; Materials science; Forensic engineering; Engineering; Chemistry; Chemical engineering","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":[0.0006747735,0.0005722899,0.0006077411,0.0007312803,0.0003842862,0.001290411,0.001416024,0.001855002,0.002090618],"category_scores_gemma":[0.001416594,0.0004298343,0.0002327248,0.0003310106,0.0005285212,0.001456402,0.0005988688,0.0007591506,0.0008756279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003106552,"about_ca_system_score_gemma":0.0001652314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00016502,"about_ca_topic_score_gemma":0.0003571965,"domain_scores_codex":[0.9994819,0.00007137974,0.0000215132,0.0001013269,0.0002772851,0.00004666115],"domain_scores_gemma":[0.99919,0.000411252,0.0000723985,0.00005417161,0.0002362403,0.00003588631],"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":[0.0002466523,0.00005976321,0.0007170803,0.0003856751,0.00002097104,0.0002879312,0.0001300493,0.0005858475,0.9503356,0.002176339,0.001365944,0.04368826],"study_design_scores_gemma":[0.00001485734,0.0001725999,0.0005852708,0.00003322871,0.00002010614,0.0003684369,0.00006957424,0.007144307,0.9846507,0.00111734,0.005804786,0.00001870916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.645582,0.08835278,0.2316886,0.00494036,0.002858648,0.0003366434,0.000996106,0.00245345,0.02279136],"genre_scores_gemma":[0.9381338,0.008405351,0.04501078,0.0008849861,0.0002597186,0.00005936234,0.0001688668,0.0001125467,0.006964501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002090618,"threshold_uncertainty_score":0.006993771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005675819521088193,"score_gpt":0.1811734294150071,"score_spread":0.1754976098939189,"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."}}