{"id":"W4401132520","doi":"10.1039/d4ya00305e","title":"Sustainable synthesis of activated porous carbon from lignin for enhanced CO<sub>2</sub> capture: a comparative study of physicochemical activation routes","year":2024,"lang":"en","type":"article","venue":"Energy Advances","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Agri-Food Innovation Alliance","keywords":"Lignin; Porosity; Activated carbon; Carbon fibers; Chemical engineering; Chemistry; Materials science; Organic chemistry; Adsorption; Engineering; Composite material; Composite number","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002584532,0.0002283569,0.0005477014,0.0001056153,0.00007608037,0.00006741776,0.0003912002,0.00007040698,0.00001090215],"category_scores_gemma":[0.0003313288,0.0001990067,0.00005238353,0.0004479805,0.000235865,0.0007071868,0.00009645644,0.00005696277,0.000001334707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075907,"about_ca_system_score_gemma":0.0001698578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008984674,"about_ca_topic_score_gemma":0.00005998721,"domain_scores_codex":[0.9981723,0.00007817341,0.0004560876,0.0005806459,0.0003985768,0.0003142509],"domain_scores_gemma":[0.9979692,0.001099604,0.0003301978,0.0002957933,0.0002586131,0.00004665333],"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":[0.0002401512,0.0002943699,0.000003869253,0.000212137,0.00003440698,0.000002537262,0.002390417,0.001072619,0.9944026,0.0007585155,0.00002966838,0.0005586718],"study_design_scores_gemma":[0.0002590777,0.0002222712,0.00001399682,0.0001846291,0.00004944746,6.463441e-7,0.006439255,0.0003351673,0.9882168,0.004032622,0.00004077924,0.0002053433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967811,0.0004562151,0.001738755,0.0000201899,0.0002684182,0.0003202547,0.00007742335,0.00009594766,0.0002416635],"genre_scores_gemma":[0.9989947,0.00002453565,0.0004963609,0.000006528155,0.00009911478,0.0003006585,0.0000250303,0.00002048547,0.0000325536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006185872,"threshold_uncertainty_score":0.8115256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009781214812481911,"score_gpt":0.2701056912976368,"score_spread":0.2603244764851549,"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."}}