{"id":"W3033130603","doi":"10.1039/d0se00675k","title":"High-energy and high-power Zn–Ni flow batteries with semi-solid electrodes","year":2020,"lang":"en","type":"article","venue":"Sustainable Energy & Fuels","topic":"Advanced battery technologies research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); Saskatoon Medical Imaging","funders":"Eni; University of Saskatchewan; Canadian Light Source","keywords":"Materials science; Electrode; Electrochemistry; Electrical conductor; Battery (electricity); Flow (mathematics); Rheology; Flow battery; Electrochemical energy conversion; Chemical engineering; Power (physics); Composite material; Chemistry; Engineering; Thermodynamics; Mechanics","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":[0.0001552979,0.0003319014,0.0002700573,0.0001498467,0.0001471719,0.0004300482,0.0004886581,0.0002886045,0.0009948963],"category_scores_gemma":[0.0002874002,0.0001735906,0.0001566098,0.0001985218,0.0001984557,0.001071419,0.000275288,0.0003594805,0.0004867386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002117929,"about_ca_system_score_gemma":0.0001615064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003209127,"about_ca_topic_score_gemma":0.001185021,"domain_scores_codex":[0.9999133,0.000007519644,0.000007202286,0.00001464772,0.00004875628,0.000008549607],"domain_scores_gemma":[0.9999393,0.00001209502,0.0000104561,0.00000634305,0.00002517975,0.000006613825],"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":[0.00009655342,0.00002218756,0.0002356936,0.0001715455,0.000007696123,0.0000422824,0.00001758773,0.0006245082,0.9810322,0.001114552,0.0002407675,0.01639431],"study_design_scores_gemma":[0.00001905851,0.00008469958,0.0007758201,0.00001248679,0.00001153066,0.0001591093,0.00002715335,0.004906837,0.9866576,0.0007875487,0.006551191,0.000007002045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7732015,0.004788483,0.2049538,0.0006660758,0.0002294595,0.0001897185,0.0006079008,0.001283258,0.01407982],"genre_scores_gemma":[0.9347755,0.001481405,0.05828064,0.00009727618,0.00002794054,0.00005878946,0.0003065607,0.0000784708,0.004893404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009948963,"threshold_uncertainty_score":0.003328264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004609889761675055,"score_gpt":0.2031398685496986,"score_spread":0.1985299787880235,"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."}}