{"id":"W4213156628","doi":"10.1016/j.chempr.2021.12.013","title":"Progress in carbon dioxide capture materials for deep decarbonization","year":2022,"lang":"en","type":"article","venue":"Chem","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":119,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Los Alamos National Laboratory; Southern California Gas Company; CMC Microsystems; U.S. Department of Energy","keywords":"Carbon dioxide; Environmental science; Materials science; Carbon fibers; Nanotechnology; Chemical engineering; Waste management; Engineering; Chemistry; Composite material; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003235805,0.0005917368,0.0002825982,0.0003863653,0.0002506009,0.000707808,0.0003776495,0.0005491666,0.002391543],"category_scores_gemma":[0.0003037332,0.0001752219,0.0001633971,0.0004210596,0.0002911079,0.001060982,0.0005470158,0.0007896553,0.0006497397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005070241,"about_ca_system_score_gemma":0.0005322638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008874387,"about_ca_topic_score_gemma":0.001636075,"domain_scores_codex":[0.9998657,0.00001113612,0.000005048161,0.00003563097,0.00004467144,0.00003784944],"domain_scores_gemma":[0.9999063,0.00003201215,0.00001105706,0.00001228733,0.00002688256,0.00001140779],"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":[0.0002385591,0.0001590611,0.0004571908,0.002916732,0.00005464769,0.0001594919,0.0002145479,0.002178614,0.6573579,0.04756531,0.006969771,0.2817283],"study_design_scores_gemma":[0.00001872879,0.000265394,0.0007266809,0.0001316313,0.00003865099,0.0003056247,0.00009462464,0.004758948,0.8025018,0.003441735,0.1876861,0.00003010228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2851541,0.5601522,0.05521922,0.004032897,0.001386202,0.0001063941,0.0006061054,0.0008698112,0.09247298],"genre_scores_gemma":[0.7858192,0.1722534,0.02102592,0.0007622628,0.0003988614,0.00005665551,0.0005472067,0.0001117119,0.01902474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002391543,"threshold_uncertainty_score":0.008000493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076031899759473,"score_gpt":0.2358693420011314,"score_spread":0.2251090230035367,"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."}}