{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009435854,0.0001681735,0.0003043043,0.0000323709,0.0002027346,0.00007470619,0.0009863649,0.0001953404,0.0000199702],"category_scores_gemma":[0.001734553,0.000122947,0.0004555969,0.0001210762,0.0001353322,0.0003668174,0.00009847795,0.0006879341,0.00000124225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005683546,"about_ca_system_score_gemma":0.000149127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001488387,"about_ca_topic_score_gemma":0.000001069925,"domain_scores_codex":[0.9980966,0.00004357575,0.0003902907,0.0001321517,0.0008562551,0.0004810978],"domain_scores_gemma":[0.9981704,0.0001944582,0.0003438762,0.0005200442,0.0007172773,0.00005397741],"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":[0.0000496529,0.00002730879,0.0001678564,0.0000359966,0.0002512643,2.485448e-7,0.000031123,0.0004910232,0.9892603,0.00001310318,0.003778987,0.005893124],"study_design_scores_gemma":[0.0006647231,0.0001659436,0.0007477025,0.00004035008,0.0001141682,0.00003634473,0.00001256352,0.04627751,0.9428157,0.008600385,0.0004032642,0.0001214127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8443404,0.001107996,0.1526906,0.001054144,0.0001999565,0.0004532244,0.000008292114,0.00007239628,0.0000730092],"genre_scores_gemma":[0.9541095,0.0002827567,0.04527122,0.00005845194,0.000169212,0.0000227211,0.000002497376,0.00004184789,0.00004180457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1097691,"threshold_uncertainty_score":0.5013635,"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."}}