{"id":"W4413213537","doi":"10.1016/j.jobab.2025.08.002","title":"Modulating pore channels of activated carbon from biomass to assemble zinc ion hybrid supercapacitor with high specific capacitance","year":2025,"lang":"en","type":"article","venue":"Journal of Bioresources and Bioproducts","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Key Science and Technology Program of Shaanxi Province; National Key Research and Development Program of China; National Forestry and Grassland Administration; National Natural Science Foundation of China","keywords":"Supercapacitor; Capacitance; Activated carbon; Materials science; Zinc; Carbon fibers; Chemical engineering; Nanotechnology; Chemistry; Electrode; Composite material; Metallurgy; Composite number; Engineering; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006368207,0.0002569974,0.0001241506,0.0002530941,0.0001010332,0.0002866351,0.000240453,0.0002467028,0.0006507557],"category_scores_gemma":[0.0001454273,0.0001247209,0.0001688732,0.0002487909,0.0001828531,0.0002644521,0.0001653373,0.0002617492,0.0001449639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366786,"about_ca_system_score_gemma":0.0001344042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005441608,"about_ca_topic_score_gemma":0.001745022,"domain_scores_codex":[0.9999353,0.000003799307,0.000004070646,0.00001665681,0.00002200526,0.00001814167],"domain_scores_gemma":[0.9999402,0.00001171554,0.00001205112,0.000005759796,0.00001531727,0.00001506804],"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":[0.00002935859,0.00001496729,0.0001199532,0.0000319249,0.00000314309,0.00004220821,0.00001238005,0.0003314833,0.9973307,0.0001602247,0.0000369555,0.001886769],"study_design_scores_gemma":[0.00001380178,0.0000647273,0.001337939,0.000003006893,0.000007831051,0.00004632562,0.00001990539,0.006341335,0.9909897,0.00006929116,0.001098877,0.000007200081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910126,0.0003332708,0.006691386,0.00004630165,0.00002953197,0.00002894978,0.0001371297,0.0001671086,0.001553579],"genre_scores_gemma":[0.9962103,0.0001664826,0.002981504,0.00001116028,0.000004670129,0.00001664526,0.0000862523,0.00001563418,0.000507381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006507557,"threshold_uncertainty_score":0.002177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157753217059991,"score_gpt":0.2112955101201196,"score_spread":0.1997179779495197,"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."}}