{"id":"W1844089823","doi":"10.1016/j.jpowsour.2015.09.096","title":"The electrochemical performance improvement of LiMn2O4/Zn based on zinc foil as the current collector and thiourea as an electrolyte additive","year":2015,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":127,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Hainan Province; National Natural Science Foundation of China","keywords":"Faraday efficiency; Electrolyte; Anode; FOIL method; Cyclic voltammetry; Current collector; Cathode; Zinc; Electrochemistry; Dissolution; Materials science; Battery (electricity); Electrode; Scanning electron microscope; Lithium-ion battery; Inorganic chemistry; Deposition (geology); Chemical engineering; Chemistry; Metallurgy; Composite material","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":[0.0001951091,0.0002548628,0.0002395868,0.0003257692,0.0001526548,0.0002797404,0.0008119908,0.0003480691,0.0008074301],"category_scores_gemma":[0.0003127201,0.0001775651,0.0002487478,0.0003104811,0.0001065052,0.0003678409,0.0002492915,0.000245877,0.0001902596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222491,"about_ca_system_score_gemma":0.0001992072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001106864,"about_ca_topic_score_gemma":0.002412908,"domain_scores_codex":[0.999863,0.00001189561,0.00001515334,0.00002467444,0.00006013311,0.00002510644],"domain_scores_gemma":[0.9999156,0.000008339095,0.00001309389,0.000007831711,0.00004587596,0.000009260463],"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":[0.0001705008,0.00001998771,0.0003468502,0.00009554336,0.00001021449,0.00007330651,0.00001911494,0.0001366953,0.9933519,0.00006980056,0.00008463446,0.005621404],"study_design_scores_gemma":[0.000006613031,0.000101949,0.0009386002,0.000003829639,0.00002120991,0.00005503745,0.00001732175,0.001146107,0.9969172,0.00001316055,0.0007751018,0.000003824253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961799,0.001055114,0.00142519,0.00005665277,0.00004857484,0.000009255529,0.0001055041,0.000069371,0.0010504],"genre_scores_gemma":[0.9945492,0.0007963171,0.002196549,0.0000216062,0.000009866969,0.000008323516,0.0001328983,0.00001081658,0.002274441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001106864,"threshold_uncertainty_score":0.002701163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007612907630594386,"score_gpt":0.2401356982904412,"score_spread":0.2325227906598468,"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."}}