{"id":"W4318677460","doi":"10.1016/j.xcrp.2023.101269","title":"Functional wood for carbon dioxide capture","year":2023,"lang":"en","type":"article","venue":"Cell Reports Physical Science","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Regina","funders":"Shell Exploration and Production Company; Dell Technologies","keywords":"Physisorption; Density functional theory; Gravimetric analysis; Metal-organic framework; Cellulose; Adsorption; Carbon dioxide; Mesoporous material; Materials science; Bar (unit); Work (physics); Chemical engineering; Nanotechnology; Composite material; Chemistry; Computational chemistry; Mechanical engineering; Organic chemistry; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00006903719,0.0003722803,0.0001194377,0.0002002245,0.0001553659,0.0002633008,0.0002472953,0.0003418833,0.002113163],"category_scores_gemma":[0.00007887044,0.0001141928,0.0002057883,0.0001487182,0.0001550754,0.0003124519,0.0002277193,0.000367352,0.000497218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203642,"about_ca_system_score_gemma":0.0001163305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005205671,"about_ca_topic_score_gemma":0.002569363,"domain_scores_codex":[0.9999464,0.000003847461,0.000001932436,0.00001268682,0.00001463803,0.00002051554],"domain_scores_gemma":[0.9999713,0.000005529318,0.00000540083,0.000003788538,0.000006507299,0.000007496193],"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":[0.00002046497,0.00002417384,0.0001212937,0.00016038,0.00001151932,0.00007170557,0.0000124925,0.0004841182,0.9895796,0.001362696,0.0002909265,0.007860708],"study_design_scores_gemma":[0.000004256831,0.0001113531,0.0007358639,0.000009694627,0.00001384931,0.0001267922,0.00001834356,0.001576544,0.98415,0.0002002967,0.01304372,0.000009270389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346389,0.01044574,0.03050855,0.0003702205,0.0002766827,0.00007120996,0.0005827695,0.0005554887,0.02255047],"genre_scores_gemma":[0.9834226,0.002247217,0.009094456,0.0001361576,0.00002523813,0.00002860902,0.0002462373,0.00003751973,0.004761965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002113163,"threshold_uncertainty_score":0.00706923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662027043434592,"score_gpt":0.2453360843519876,"score_spread":0.2287158139176417,"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."}}