{"id":"W2115909708","doi":"10.6000/1929-6002.2013.02.01.4","title":"Investigation of Different Carbon Materials with Different Coating Methods as Micro Porous Layer for Proton Exchange Membrane Fuel Cells","year":2013,"lang":"en","type":"article","venue":"Journal of Technology Innovations in Renewable Energy","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council","keywords":"Proton exchange membrane fuel cell; Materials science; Dielectric spectroscopy; Membrane electrode assembly; Carbon fibers; Coating; Membrane; Polarization (electrochemistry); Chemical engineering; Porosity; Layer (electronics); Electrochemistry; Composite material; Electrode; Fuel cells; Chemistry; Electrolyte; Composite number","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001934334,0.0002599675,0.000170551,0.0004345489,0.0001685706,0.0003034958,0.0003280359,0.000490696,0.0004416131],"category_scores_gemma":[0.000387185,0.0001382608,0.0002314599,0.0002401324,0.0001812846,0.0004296526,0.0001278763,0.0002345695,0.000111461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002482746,"about_ca_system_score_gemma":0.0001554443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000574275,"about_ca_topic_score_gemma":0.001654675,"domain_scores_codex":[0.999801,0.0000190756,0.00001483917,0.00004521941,0.00008732352,0.00003254246],"domain_scores_gemma":[0.9998044,0.0000536496,0.00004239942,0.00001742793,0.00006187841,0.00002018292],"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":[0.00002869014,0.00001235157,0.0002459104,0.00009780587,0.000007014682,0.00005193683,0.00001235784,0.0001525508,0.9963075,0.00007719216,0.00002019002,0.002986404],"study_design_scores_gemma":[0.000002143688,0.00006401655,0.0007731516,0.000003986178,0.000009621655,0.00008755911,0.00001390949,0.0007407466,0.9975069,0.000009300219,0.0007847397,0.000003974304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884774,0.003384732,0.006559848,0.00008275144,0.00003799119,0.00002759458,0.0001484339,0.00006853841,0.001212803],"genre_scores_gemma":[0.9870629,0.001427481,0.01073588,0.00002311791,0.000008464024,0.00001673457,0.00008939745,0.0000144153,0.0006216801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000574275,"threshold_uncertainty_score":0.001801312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371300799442596,"score_gpt":0.2391193699696617,"score_spread":0.2254063619752357,"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."}}