{"id":"W2061300538","doi":"10.1016/j.jpowsour.2006.10.015","title":"A flow channel design procedure for PEM fuel cells with effective water removal","year":2006,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":194,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"AUTO21 Network of Centres of Excellence; National Institute of Standards and Technology","keywords":"Proton exchange membrane fuel cell; Anode; Electrolyte; Cathode; Water transport; Membrane; Chemical engineering; Chemistry; Materials science; Electrochemistry; Pressure drop; Electrochemical cell; Water flow; Waste management; Environmental engineering; Electrode; Environmental science; Mechanics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003624928,0.0005479847,0.0004712352,0.0005628663,0.001049223,0.0004734532,0.0005956863,0.0004476738,0.003519618],"category_scores_gemma":[0.0004759262,0.0004388102,0.0004536851,0.0002819531,0.000298941,0.0004213686,0.0002782365,0.0006770084,0.0007636455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004786095,"about_ca_system_score_gemma":0.001381807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001597281,"about_ca_topic_score_gemma":0.003440359,"domain_scores_codex":[0.9998363,0.00001703615,0.00000824794,0.00003446699,0.00008119189,0.0000228],"domain_scores_gemma":[0.9998538,0.00003493263,0.00001692057,0.00001746086,0.00006802159,0.0000087912],"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":[0.0003552767,0.000451175,0.0006496591,0.0003869192,0.00004561408,0.0002187034,0.0001935372,0.06615601,0.6515759,0.0280234,0.004472171,0.2474717],"study_design_scores_gemma":[0.0001426212,0.0005564463,0.00108964,0.0000307486,0.00006806369,0.0002571413,0.00005601373,0.3024089,0.6563576,0.006466973,0.03245703,0.0001087649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01326044,0.00007333369,0.9824951,0.00005299728,0.00007385769,0.0003336542,0.0001133292,0.00101881,0.002578437],"genre_scores_gemma":[0.1720989,0.0001783489,0.819948,0.0000643539,0.00003097564,0.000676468,0.0001399075,0.0001994996,0.006663488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003519618,"threshold_uncertainty_score":0.0117743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003624751449839805,"score_gpt":0.1670950228198631,"score_spread":0.1634702713700233,"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."}}