{"id":"W1987694435","doi":"10.1016/j.cej.2014.07.132","title":"Preparation and characterization of polyvinyl alcohol polyelectrolyte-based membrane-anode assembly for hybrid Fe3+/H2 redox flow microbial fuel cell","year":2014,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Advanced battery technologies research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Membrane; Polyvinyl alcohol; Polyelectrolyte; Chemical engineering; Anode; Ionomer; Nafion; Glutaraldehyde; Chemistry; Membrane electrode assembly; Electrolyte; Redox; Microbial fuel cell; Swelling; Vinyl alcohol; Materials science; Electrode; Inorganic chemistry; Chromatography; Polymer; Organic chemistry; Electrochemistry; Biochemistry","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":[0.000204441,0.0002184144,0.0002073012,0.0002796601,0.0002231073,0.0002762696,0.0002212005,0.000326214,0.0004735989],"category_scores_gemma":[0.0002134237,0.0002021464,0.0001931848,0.0001902039,0.0001062337,0.0002590579,0.0001749249,0.0002779075,0.0002847814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001880425,"about_ca_system_score_gemma":0.0001610413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004888687,"about_ca_topic_score_gemma":0.0009491466,"domain_scores_codex":[0.99988,0.0000118941,0.00001210167,0.00002307234,0.00005357189,0.00001939337],"domain_scores_gemma":[0.9998983,0.00001580847,0.00001802411,0.00001005204,0.00004454446,0.00001328323],"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":[0.00001256985,0.000009013963,0.00009356771,0.00001931411,0.000002499516,0.00002331845,0.000009049476,0.00008942327,0.9988703,0.00002783984,0.00001353847,0.0008295057],"study_design_scores_gemma":[0.000001921983,0.00004101404,0.001209331,0.000001889332,0.000005006846,0.00004276552,0.000009363239,0.0008404765,0.9971278,0.000009025542,0.0007081265,0.000003276369],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815107,0.0006971564,0.01648198,0.00006088795,0.00003449605,0.00003973315,0.0002359986,0.0001154358,0.0008235661],"genre_scores_gemma":[0.9854771,0.0004055012,0.01177961,0.00002664916,0.00001056581,0.00003641153,0.0003798702,0.00003239639,0.001851883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004888687,"threshold_uncertainty_score":0.001584291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006309615671378373,"score_gpt":0.225070166841165,"score_spread":0.2187605511697866,"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."}}