{"id":"W4226019521","doi":"10.1016/j.renene.2022.04.037","title":"Sustainable production of oxygen-rich hierarchically porous carbon network from corn straw lignin and silk degumming wastewater for high-performance electrochemical energy storage","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Calgary","funders":"","keywords":"Sericin; Materials science; Chemical engineering; Lignin; Electrochemistry; Supercapacitor; Biomass (ecology); Porosity; Energy storage; Specific surface area; SILK; Chemical oxygen demand; Wastewater; Pulp and paper industry; Chemistry; Waste management; Electrode; Composite material; Organic chemistry; Catalysis","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":[0.0000848142,0.0002610584,0.0001258258,0.0003105175,0.0001635993,0.0002523185,0.0002291191,0.0003096387,0.0006401919],"category_scores_gemma":[0.0001345062,0.0001086398,0.0002272361,0.0002461143,0.000108229,0.0003487701,0.0002278631,0.0003517747,0.0001342756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002783285,"about_ca_system_score_gemma":0.0002418641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087353,"about_ca_topic_score_gemma":0.005198972,"domain_scores_codex":[0.9999341,0.000004145342,0.000004844381,0.00001322727,0.0000228724,0.00002076295],"domain_scores_gemma":[0.9999503,0.000006953836,0.00001103524,0.000004932302,0.00001133653,0.00001545497],"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":[0.00004929614,0.00004027814,0.0002393502,0.0001008321,0.000013798,0.0001154461,0.00001988292,0.0006644696,0.9931569,0.0003597665,0.0001658523,0.005074239],"study_design_scores_gemma":[0.000008791358,0.0001060086,0.001697318,0.000007359927,0.00001549763,0.00005699759,0.00002995186,0.003699987,0.992524,0.00009716571,0.001748205,0.000008849457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924455,0.0007846274,0.003550889,0.00008204969,0.00004138797,0.00002201797,0.000317439,0.00009451465,0.002661531],"genre_scores_gemma":[0.9972379,0.0002621025,0.001415692,0.00001853013,0.000003975745,0.000008572767,0.0001656557,0.000007823442,0.0008797366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001087353,"threshold_uncertainty_score":0.002162099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005878488554188831,"score_gpt":0.1831660613784936,"score_spread":0.1772875728243048,"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."}}