{"id":"W2899225980","doi":"10.1016/j.carbon.2018.10.096","title":"In-situ ion-activated carbon nanospheres with tunable ultramicroporosity for superior CO2 capture","year":2018,"lang":"en","type":"article","venue":"Carbon","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Flue gas; Adsorption; Materials science; Carbon fibers; Chemical engineering; Ionic bonding; Activated carbon; Nanotechnology; Surface modification; Ion; Catalysis; Chemistry; Organic chemistry; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001526437,0.0003255969,0.0001730128,0.0001752544,0.0002108871,0.0003375851,0.0003310929,0.0004406367,0.0008762297],"category_scores_gemma":[0.0002327654,0.0001741987,0.0001531173,0.0001348152,0.0002455059,0.0004811183,0.0003276536,0.0003782319,0.0002429846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005005157,"about_ca_system_score_gemma":0.0001975769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006926619,"about_ca_topic_score_gemma":0.001633495,"domain_scores_codex":[0.9998517,0.000009868877,0.000008356482,0.00004024645,0.0000531122,0.00003667676],"domain_scores_gemma":[0.9998949,0.00002325036,0.00002257861,0.00001694587,0.00002543416,0.00001703452],"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":[0.00003054993,0.00001321542,0.0000633493,0.00004184829,0.000006029065,0.00003715071,0.00002197478,0.0002029692,0.9974879,0.0002444597,0.000168711,0.001681791],"study_design_scores_gemma":[0.00000326977,0.00002013241,0.0003559983,9.801454e-7,0.000004478333,0.0000338456,0.000008981759,0.00131064,0.9972018,0.00002804591,0.001027488,0.000004181692],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860638,0.0009785912,0.00811192,0.000197331,0.00006672046,0.00002585123,0.000182661,0.0002556613,0.004117389],"genre_scores_gemma":[0.9946498,0.0002801601,0.003475456,0.00004647889,0.00001154467,0.00001689424,0.0001040535,0.00003599964,0.001379548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008762297,"threshold_uncertainty_score":0.003631532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005915915121795427,"score_gpt":0.1965316836938112,"score_spread":0.1906157685720158,"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."}}