{"id":"W2167446698","doi":"10.1002/fuce.201200072","title":"Model‐Based <i>Ex Situ</i> Diagnostics of Water Fluxes in Catalyst Layers of Polymer Electrolyte Fuel Cells","year":2013,"lang":"en","type":"article","venue":"Fuel Cells","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Innovation Council; National Research Council Canada; Simon Fraser University","funders":"","keywords":"Electrolyte; Water transport; Proton exchange membrane fuel cell; Catalysis; Chemical engineering; Materials science; Vaporization; Isothermal process; Water vapor; Electrochemistry; Polymer; Cathode; Electrode; Chemistry; Water flow; Thermodynamics; Composite material; Environmental science; Organic 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":[0.0002352329,0.0004222391,0.0003611866,0.0001808864,0.0001524168,0.0005009794,0.0005179783,0.0004537847,0.0005017242],"category_scores_gemma":[0.0004029133,0.0002686541,0.0003064598,0.0001434339,0.0004412348,0.0006705067,0.0002799482,0.0003503521,0.0001146326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004616281,"about_ca_system_score_gemma":0.0001998991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001498158,"about_ca_topic_score_gemma":0.00107304,"domain_scores_codex":[0.9999077,0.00001973988,0.00000402051,0.00002495488,0.00003322484,0.000010247],"domain_scores_gemma":[0.9999082,0.00004746268,0.00001365825,0.00001472225,0.00001261061,0.000003200551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001791653,0.0001276524,0.002493259,0.0001287211,0.00002605673,0.000104527,0.00006755933,0.4459662,0.5391718,0.001663615,0.0001901939,0.009881309],"study_design_scores_gemma":[0.00001071622,0.00006961855,0.0008425314,0.000004176264,0.000006468128,0.00002398251,0.00002142706,0.7796039,0.2184918,0.0006303837,0.0002831937,0.00001177378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7519291,0.0005110016,0.2441694,0.0001441229,0.00001940932,0.00004375602,0.0002586369,0.0005395755,0.002385075],"genre_scores_gemma":[0.9930537,0.0001445601,0.006068449,0.000009968617,0.000002311148,0.00003122833,0.00005685473,0.00001560085,0.0006172417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001498158,"threshold_uncertainty_score":0.003349304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005249666368667005,"score_gpt":0.172758400212738,"score_spread":0.167508733844071,"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."}}