{"id":"W2485081120","doi":"10.1021/acs.energyfuels.5b00470","title":"Selective CO<sub>2</sub> Capture by Activated Carbons: Evaluation of the Effects of Precursors and Pyrolysis Process","year":2015,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan; Canadian Light Source","keywords":"Sawdust; Adsorption; Pyrolysis; Activated carbon; Carbonization; Chemistry; Potassium hydroxide; Chemical engineering; Specific surface area; Straw; Volume (thermodynamics); Carbon fibers; Organic chemistry; Materials science; Inorganic chemistry; Catalysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000218151,0.0001772729,0.0002730345,0.0001057645,0.00001081144,0.000007513722,0.0001729427,0.0002050118,8.022188e-7],"category_scores_gemma":[0.0006198258,0.0001391256,0.00005285756,0.000520685,0.0001146634,0.00009364807,0.00003435267,0.0001571312,1.750614e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001212987,"about_ca_system_score_gemma":0.00006683687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007229026,"about_ca_topic_score_gemma":0.00005759498,"domain_scores_codex":[0.9989457,0.00008776336,0.0001840232,0.0001784466,0.0004405247,0.0001635009],"domain_scores_gemma":[0.9991914,0.0001136861,0.0001071551,0.0002812629,0.0002642405,0.00004223608],"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":[0.00001347518,0.00001777983,0.0002949491,0.0001105971,0.0001459956,2.989771e-7,0.0008292541,0.004121414,0.990806,0.00005484789,0.0008149552,0.002790448],"study_design_scores_gemma":[0.000515172,0.00004619302,0.000749484,0.00007817036,0.0001454609,0.000001975181,0.0002477806,0.0009796298,0.9958845,0.001184185,0.00003421029,0.0001331802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929906,0.005381703,0.0000498363,0.0000251552,0.000129419,0.0002492973,0.000008652167,0.0002072636,0.0009580522],"genre_scores_gemma":[0.9997218,0.00008000439,0.00001200951,0.000009395213,0.00001430185,0.000116561,0.000006357685,0.00003032812,0.000009224187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006731197,"threshold_uncertainty_score":0.5673378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006791934657051048,"score_gpt":0.2147957967458552,"score_spread":0.2080038620888042,"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."}}