{"id":"W2124432387","doi":"10.1149/1.2766650","title":"Active Water Management for PEM Fuel Cells","year":2007,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Proton exchange membrane fuel cell; Water transport; Nuclear engineering; Power density; Water flow; Materials science; Environmental science; Chemical engineering; Chemistry; Process engineering; Environmental engineering; Power (physics); Fuel cells; Thermodynamics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009548045,0.0003284919,0.0002115692,0.0002168796,0.0003539216,0.0005497799,0.0004916782,0.0004599666,0.001659647],"category_scores_gemma":[0.0001720922,0.0001535066,0.0001687155,0.0001996364,0.0002662529,0.0009858828,0.0003557302,0.0004201126,0.0004442254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003360231,"about_ca_system_score_gemma":0.000149729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003896443,"about_ca_topic_score_gemma":0.0005244241,"domain_scores_codex":[0.99993,0.00000786688,0.000003358514,0.00001541471,0.00003492747,0.000008406865],"domain_scores_gemma":[0.9999567,0.00001006708,0.000006459761,0.000004479502,0.00001824387,0.000004033889],"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":[0.000127222,0.00009875247,0.0003294692,0.0005198307,0.00001433351,0.0001642712,0.00006710901,0.006887726,0.7911848,0.00861569,0.002381796,0.1896089],"study_design_scores_gemma":[0.00003187588,0.0002198555,0.000429196,0.00003864456,0.00003164012,0.0002401889,0.00005976966,0.03673735,0.9084908,0.006242321,0.04744781,0.00003065651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3713191,0.05409793,0.5309799,0.002709777,0.0007433695,0.0002421943,0.0004010728,0.002511043,0.03699553],"genre_scores_gemma":[0.9331762,0.01052387,0.04492969,0.0001952644,0.000155394,0.00008930868,0.0001738353,0.00007293376,0.01068351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001659647,"threshold_uncertainty_score":0.005552113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003801443344965933,"score_gpt":0.1943372991822182,"score_spread":0.1905358558372523,"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."}}