{"id":"W2952071108","doi":"10.1002/cjce.23581","title":"Nitrogen‐doping microporous adsorbents prepared from palm kernel with excellent CO<sub>2</sub> capture property","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Microporous material; Thermogravimetry; Palm kernel; Adsorption; Chemical engineering; Materials science; Carbon fibers; Porosity; Thermal stability; Combustion; Biochar; Nitrogen; Chemistry; Pyrolysis; Organic chemistry; Palm oil; Composite material; Composite number","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001269014,0.000319883,0.0004081042,0.000166694,0.00002047219,0.00008131893,0.0005833283,0.0002154862,0.00002744434],"category_scores_gemma":[0.00007346654,0.0002053741,0.0001335021,0.000202637,0.00007375116,0.0001185053,0.00002687108,0.0008651454,0.00001893236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005827655,"about_ca_system_score_gemma":0.0002095894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007369596,"about_ca_topic_score_gemma":0.0004314203,"domain_scores_codex":[0.9986106,0.00001052655,0.0003909101,0.0001787359,0.0002828527,0.0005263345],"domain_scores_gemma":[0.9989707,0.00006337636,0.0001012865,0.0004057648,0.00009904426,0.000359809],"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":[0.00002140989,0.00000468142,0.001166174,0.00006574638,0.0002245787,0.0001415622,0.0004542044,0.07002624,0.9265448,0.00001327621,0.001010854,0.0003264722],"study_design_scores_gemma":[0.0006280472,0.00003224321,0.0001657414,0.0003756567,0.00006809812,0.0003833208,0.0001003676,0.009234348,0.9872587,0.00007108405,0.00127124,0.0004111179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964381,0.002189712,0.0002430129,0.0001850204,0.0003428916,0.0002332209,0.00002138356,0.0001813816,0.0001652765],"genre_scores_gemma":[0.9991989,0.00001745194,0.0004562972,0.00004949057,0.0001580965,0.000007791125,0.000007990248,0.00009418328,0.000009827416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06079189,"threshold_uncertainty_score":0.8374911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004494757025779937,"score_gpt":0.1558591248102119,"score_spread":0.1513643677844319,"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."}}