{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002068225,0.0015017,0.001122741,0.00160132,0.0007004898,0.001468477,0.003747056,0.004166757,0.01587758],"category_scores_gemma":[0.0129019,0.0007309456,0.001235323,0.001388747,0.001210647,0.005047136,0.00093872,0.003653016,0.007265928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362195,"about_ca_system_score_gemma":0.0009688225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005830818,"about_ca_topic_score_gemma":0.003307595,"domain_scores_codex":[0.9991233,0.0002405182,0.00003624566,0.0002491359,0.0002155773,0.0001353407],"domain_scores_gemma":[0.9967574,0.001863656,0.0003040542,0.000286716,0.0006860174,0.0001021074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009984089,0.0002468196,0.005906048,0.0004584791,0.0001613341,0.0013329,0.0005145136,0.43783,0.002817031,0.4776342,0.02162742,0.05137145],"study_design_scores_gemma":[0.00002589385,0.0000669672,0.001997856,0.0001123082,0.00005031536,0.0008290385,0.0001127236,0.8408418,0.0003582577,0.1343272,0.02122768,0.00004989805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04644244,0.005887025,0.8789186,0.01068357,0.0008666146,0.0003284244,0.002197095,0.001030488,0.05364573],"genre_scores_gemma":[0.7937959,0.009890511,0.06503811,0.002043317,0.000871532,0.001026846,0.002031859,0.0005434935,0.1247584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01587758,"threshold_uncertainty_score":0.05311579,"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."}}