{"id":"W2893385343","doi":"10.6000/1929-6002.2018.07.01","title":"Carbon Black and Multi-Walled Carbon Nanotube Supported Cobalt for Anion Exchange Membrane Fuel Cell","year":2018,"lang":"en","type":"article","venue":"Journal of Technology Innovations in Renewable Energy","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan","keywords":"Cobalt; Carbon nanotube; Carbon black; Ion exchange; Fuel cells; Carbon fibers; Materials science; Ion; Chemical engineering; Membrane; Inorganic chemistry; Nanotechnology; Chemistry; Composite material; Engineering; Organic chemistry; Biochemistry","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":[0.0001676743,0.0004373686,0.0004055467,0.0006191762,0.0003295018,0.0003244006,0.0005837312,0.001048323,0.001028377],"category_scores_gemma":[0.0001859123,0.0001905005,0.0003546571,0.0003521629,0.0001199414,0.0005272944,0.0002467736,0.0003383192,0.0004915761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003377997,"about_ca_system_score_gemma":0.000236733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036536,"about_ca_topic_score_gemma":0.003065248,"domain_scores_codex":[0.9998073,0.00001414221,0.00001317278,0.00003856427,0.00009531241,0.00003139499],"domain_scores_gemma":[0.9999173,0.00000789601,0.00001209027,0.000006508294,0.00003903963,0.00001717188],"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":[0.00009006796,0.0000515026,0.0001435825,0.0001338233,0.000008756414,0.0001420834,0.000009084579,0.0003690757,0.9943448,0.0001789024,0.0001085316,0.004419748],"study_design_scores_gemma":[0.00001402059,0.0001050167,0.0004774603,0.000005362179,0.0000117941,0.00008330335,0.00001042861,0.003024051,0.9941624,0.00003681425,0.00205947,0.000009876167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805073,0.005625587,0.008665828,0.0003076965,0.0002247565,0.00006276352,0.0004812666,0.0001340319,0.003990834],"genre_scores_gemma":[0.9868096,0.001914049,0.006907441,0.00005035661,0.00002196404,0.00004454589,0.0003325068,0.00002525159,0.003894246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001048323,"threshold_uncertainty_score":0.00344032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001649431833493,"score_gpt":0.2202818588409511,"score_spread":0.2102653645226162,"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."}}