{"id":"W2905689151","doi":"10.1016/j.est.2018.12.014","title":"Scalable porous zinc anode to improve the cycling performance of aqueous lithium energy storage systems","year":2018,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced battery technologies research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Anode; Materials science; Battery (electricity); Electrolyte; Porosity; Galvanic anode; Energy storage; Wetting; Chemical engineering; Lithium titanate; Lithium-ion battery; Electrode; Composite material; Chemistry; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005186138,0.0002481536,0.0004631137,0.0003738063,0.0001364484,0.00005910314,0.0009164035,0.000175507,0.00002311672],"category_scores_gemma":[0.0001407438,0.0001813939,0.0001026675,0.0005277023,0.0001708739,0.0003615282,0.0001993445,0.0004532566,0.000007026172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003517591,"about_ca_system_score_gemma":0.00007211732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008788411,"about_ca_topic_score_gemma":0.00002940019,"domain_scores_codex":[0.9979013,0.00006362137,0.0007180081,0.0001896859,0.0005850379,0.0005423164],"domain_scores_gemma":[0.998358,0.0001445571,0.0003079906,0.0006205718,0.000425304,0.0001436373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001805025,0.00007222914,0.0001838661,0.0001484742,0.0002092529,0.0001705663,0.0002010541,0.7008348,0.2602506,0.0007602358,0.005146471,0.03184189],"study_design_scores_gemma":[0.001130107,0.003094296,0.0005052399,0.0006281219,0.00006519486,0.0007324232,0.0006354641,0.2459541,0.5142415,0.0002384342,0.2319221,0.0008530829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9213536,0.003390636,0.07012586,0.0001478629,0.001988619,0.00008917199,0.00001319613,0.0001494108,0.002741686],"genre_scores_gemma":[0.9960424,0.0005501399,0.00120566,0.00006579907,0.0006904394,0.00001300395,0.000001011803,0.00006983949,0.001361749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4548807,"threshold_uncertainty_score":0.7397028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009775357735813913,"score_gpt":0.2352006692552207,"score_spread":0.2254253115194068,"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."}}