{"id":"W2735839972","doi":"10.1149/2.1301709jes","title":"Evaluation of Electrospun Fibrous Mats Targeted for Use as Flow Battery Electrodes","year":2017,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced battery technologies research","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McGill University","funders":"","keywords":"Electrospinning; Materials science; Electrode; Porosity; Specific surface area; Electrochemistry; Nanotechnology; Nanofiber; Battery (electricity); Carbonization; Conductivity; Composite material; Polymer; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004684812,0.0004169343,0.0001622897,0.0003924423,0.0001692036,0.000309783,0.0001901923,0.0004973422,0.0008012544],"category_scores_gemma":[0.0006736642,0.0001113208,0.000203881,0.0001848425,0.000138148,0.0003621634,0.000122671,0.0001859307,0.0001918278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308126,"about_ca_system_score_gemma":0.00008484922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001580083,"about_ca_topic_score_gemma":0.000508321,"domain_scores_codex":[0.9998406,0.00002787975,0.00001439347,0.00003381115,0.00006051813,0.00002268586],"domain_scores_gemma":[0.9996624,0.0001164005,0.00006359999,0.00001707636,0.0001008799,0.00003958734],"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":[0.00002701527,0.00002257062,0.00005018191,0.00003843601,0.000002916756,0.00007530992,0.00001019595,0.0001035321,0.9984017,0.00002203033,0.00001175924,0.001234307],"study_design_scores_gemma":[0.00000573703,0.0003723196,0.001474723,0.000007865004,0.000009934352,0.0001135414,0.00002055431,0.0008743015,0.9965332,0.00001936924,0.0005642148,0.000004315214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882356,0.001227389,0.008409025,0.00006083263,0.00006390143,0.00009731109,0.000175158,0.0000943427,0.001636444],"genre_scores_gemma":[0.9858847,0.001036452,0.01094195,0.00005137521,0.00002515503,0.00008067348,0.0002421634,0.00003705051,0.001700539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008012544,"threshold_uncertainty_score":0.00268048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270113409300708,"score_gpt":0.3052582965518676,"score_spread":0.2782469556217969,"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."}}