{"id":"W1965813065","doi":"10.1149/1.2729005","title":"An Empirical Model for Proton Exchange Membrane Fuel Cell Diagnostics","year":2007,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proton exchange membrane fuel cell; Stack (abstract data type); Dielectric spectroscopy; Range (aeronautics); Work (physics); Electrical impedance; Fuel cells; Voltage; Nuclear engineering; Materials science; Analytical Chemistry (journal); Electrochemistry; Computer science; Chemistry; Engineering; Electrical engineering; Chemical engineering; Electrode; Mechanical engineering; Chromatography; Composite material; Physical chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001399421,0.0001318269,0.0001318617,0.00006875517,0.00008181999,0.00002580593,0.00007806849,0.0001818514,0.0001502888],"category_scores_gemma":[0.000002453723,0.0001262915,0.00006860158,0.00008725691,0.00001822094,0.0001060265,0.000001044648,0.0001297428,0.00002334372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003268642,"about_ca_system_score_gemma":0.00001220444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004468116,"about_ca_topic_score_gemma":0.00002525881,"domain_scores_codex":[0.9993023,0.000006416587,0.0001972891,0.0001362427,0.00008083782,0.0002769685],"domain_scores_gemma":[0.9996075,0.00006870775,0.00001393819,0.0001570183,0.00002905923,0.0001238007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003351536,0.0002362853,0.000006318888,0.003185571,0.00002985546,0.000006018828,0.001407717,0.9688517,0.0251891,0.000003890965,0.0005915622,0.0004584],"study_design_scores_gemma":[0.0006251961,0.0000856313,0.00001453721,0.0000166058,0.00007343711,0.000004492877,0.00004901108,0.8240477,0.1343729,0.0002251093,0.0402281,0.0002573591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02017982,0.001794875,0.9644365,0.00006849645,0.0009830358,0.001119414,0.0001556088,0.0005322999,0.01072992],"genre_scores_gemma":[0.9846453,0.004634957,0.009538334,0.00004565535,0.0001690486,0.0002202371,0.00003178635,0.00007726974,0.000637406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9644655,"threshold_uncertainty_score":0.515002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995219323352311,"score_gpt":0.2638776498006443,"score_spread":0.2439254565671211,"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."}}