{"id":"W4307423966","doi":"10.1016/j.fuel.2022.126450","title":"Employing cationic kraft lignin as electrolyte additive to enhance the electrochemical performance of rechargeable aqueous zinc-ion battery","year":2022,"lang":"en","type":"article","venue":"Fuel","topic":"Advanced battery technologies research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Electrochemistry; Cationic polymerization; Aqueous solution; Electrolyte; Lignin; Zinc; Inorganic chemistry; Kraft paper; Chemistry; Battery (electricity); Chemical engineering; Materials science; Organic chemistry; Electrode","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":[0.0002282229,0.0001494224,0.0001715875,0.0001431121,0.0001838323,0.00001538655,0.0005823412,0.00004741372,0.0002259388],"category_scores_gemma":[0.0001276796,0.0001413801,0.00003866894,0.0006924334,0.00003607366,0.0001156551,0.0002568728,0.0006985629,0.0000947486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003843606,"about_ca_system_score_gemma":0.00005230278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001064911,"about_ca_topic_score_gemma":0.000006910494,"domain_scores_codex":[0.9986066,0.00005000438,0.0002313571,0.0002638916,0.0003533941,0.0004947232],"domain_scores_gemma":[0.9992135,0.0001805087,0.00004200067,0.0004674085,0.00005702041,0.00003961433],"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":[0.00004877591,0.00005635313,0.0002812733,0.00004248201,0.00003942645,0.00000580173,0.0003694083,0.00457667,0.9832007,0.00002840212,0.002883629,0.008467047],"study_design_scores_gemma":[0.0000833711,0.0005618348,0.0001346944,0.00001885955,0.000005924107,0.00002308934,0.0001866681,0.004012236,0.9888094,0.0002249723,0.00576847,0.0001704474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959257,0.0004732265,0.001300157,0.000386374,0.00008885928,0.0005216787,0.00001301675,0.0003582137,0.0009327243],"genre_scores_gemma":[0.9977351,0.0002110481,0.0005301916,0.0001271951,0.00004653323,0.0007448224,0.00001553643,0.00004403605,0.0005455773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008296601,"threshold_uncertainty_score":0.5765312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007664490557068358,"score_gpt":0.2544445777413378,"score_spread":0.2467800871842695,"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."}}