{"id":"W2604094564","doi":"10.1149/07711.0129ecst","title":"Fluid Transport Properties from 3D Tomographic Images of Electrospun Carbon Electrodes for Flow Batteries","year":2017,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Advanced battery technologies research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McGill University","funders":"Science and Technology Facilities Council","keywords":"Electrospinning; Materials science; Porosity; Lattice Boltzmann methods; Carbonization; Electrode; Composite material; Flow (mathematics); Nanotechnology; Biomedical engineering; Polymer; Mechanics; Scanning electron microscope; 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":[0.00005721715,0.000193839,0.0002690928,0.0001518537,0.0002762621,0.00003902994,0.0004233829,0.0001205321,0.00004616631],"category_scores_gemma":[0.00001750983,0.0001864271,0.0001255029,0.0001030954,0.0002710686,0.0003112265,0.000004659824,0.0002553973,0.000001405304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004184251,"about_ca_system_score_gemma":0.00002403242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001050776,"about_ca_topic_score_gemma":0.0002688297,"domain_scores_codex":[0.9989691,0.000008051693,0.0002323295,0.0002267841,0.000156026,0.0004077404],"domain_scores_gemma":[0.999202,0.00004018674,0.00003590703,0.0006096388,0.00007266491,0.00003958409],"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":[0.00006424305,0.00003846443,0.0008329909,0.0001246655,0.0001673388,0.000002121719,0.0001261712,0.008895869,0.9763542,0.000007118557,0.00003673143,0.01335004],"study_design_scores_gemma":[0.0003327568,0.000118533,0.003810595,0.00003951717,0.00004964006,0.000002231469,0.00004992674,0.01211863,0.9818327,0.0004663736,0.000963024,0.0002160987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.493312,0.0008304639,0.5035369,0.0003906488,0.0001890866,0.0004327966,0.000282747,0.000589168,0.0004362513],"genre_scores_gemma":[0.984472,0.0006440365,0.01434146,0.000004446436,0.00003782996,0.0003011974,0.00001464698,0.00005581662,0.0001285428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4911601,"threshold_uncertainty_score":0.7602276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153788925390216,"score_gpt":0.2366348450058303,"score_spread":0.2212559524668087,"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."}}