{"id":"W4392192704","doi":"10.1007/s11696-024-03355-z","title":"CO2 adsorption by KOH-activated hydrochar derived from banana peel waste","year":2024,"lang":"en","type":"article","venue":"Chemical Papers","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Hydrothermal carbonization; Adsorption; Activated carbon; Chemistry; Carbonization; Fourier transform infrared spectroscopy; Nuclear chemistry; Chemical engineering; Biomass (ecology); Porosity; Carbon fibers; Lignocellulosic biomass; Hydrothermal circulation; Materials science; Organic chemistry; Composite number; Fermentation; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009417813,0.0002978256,0.0002223252,0.0003333045,0.0001262733,0.0002380532,0.0001892441,0.0001831778,0.001352251],"category_scores_gemma":[0.000124571,0.0001488203,0.0002256318,0.0002500756,0.0001537367,0.0002491743,0.0001558493,0.0003344411,0.0003399798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234701,"about_ca_system_score_gemma":0.0001128773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009577214,"about_ca_topic_score_gemma":0.001742653,"domain_scores_codex":[0.9999298,0.000007562458,0.000003951605,0.00001346273,0.00002616979,0.00001903381],"domain_scores_gemma":[0.9999365,0.00001746687,0.00001133011,0.000004600386,0.00001676997,0.00001336904],"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":[0.00009256019,0.00001743148,0.0002397653,0.0000514086,0.000005190995,0.00005270889,0.00001468292,0.0001397073,0.9984531,0.00001457046,0.00001621539,0.0009025627],"study_design_scores_gemma":[0.000006965744,0.00011219,0.004750585,0.000007205266,0.000008596347,0.00007198395,0.00004901053,0.001438006,0.9932006,0.00002171087,0.0003257548,0.000007350027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998696,0.0001421336,0.0004573974,0.00001245851,0.00000504881,0.000005293384,0.0001062226,0.00001331292,0.0005621458],"genre_scores_gemma":[0.9978764,0.0001878241,0.0006819565,0.00001656709,0.0000027102,0.000006203294,0.0002103981,0.00001018235,0.001007643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001352251,"threshold_uncertainty_score":0.004523754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005100782560419998,"score_gpt":0.1819778876640777,"score_spread":0.1768771051036577,"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."}}