{"id":"W3048466813","doi":"10.1016/j.apenergy.2020.115627","title":"Advances in carbon capture, utilization and storage","year":2020,"lang":"en","type":"article","venue":"Applied Energy","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":332,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; University of Ottawa","funders":"","keywords":"Carbon capture and storage (timeline); Combustion; Process engineering; Environmental science; Production (economics); Carbon fibers; Waste management; Engineering; Computer science; Chemistry; Climate change","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001526382,0.000103857,0.0001240105,0.00005555484,0.000003242922,0.00000841798,0.00006997542,0.00008833378,0.000003068611],"category_scores_gemma":[0.000009981396,0.0001098839,0.000009203083,0.0002243041,0.00002662855,0.00004189859,0.00003030939,0.0000867907,7.162053e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002579968,"about_ca_system_score_gemma":0.000003044915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002522946,"about_ca_topic_score_gemma":0.0001238181,"domain_scores_codex":[0.9995698,0.000002806082,0.00009734839,0.0001424516,0.00006316962,0.0001244791],"domain_scores_gemma":[0.9998409,0.00001404335,0.00001174637,0.00009533653,0.000004208885,0.0000338356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004508333,0.0000219991,0.0005141445,0.0002429762,0.00002762468,0.000055544,0.001260688,0.3427508,0.08460362,0.3063757,0.0007959926,0.2633058],"study_design_scores_gemma":[0.002183851,0.00008165063,0.001917197,0.00005416029,0.00003723524,0.00001123991,0.002045881,0.3542837,0.2372197,0.01667678,0.3838452,0.001643368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6151114,0.05399065,0.01425284,0.0004399208,0.000325678,0.0002712368,0.000006803934,0.004606054,0.3109954],"genre_scores_gemma":[0.997656,0.001953924,0.0001797074,0.0001202576,0.00003016784,0.00002826908,0.00000511616,0.00002231946,0.000004217851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3830492,"threshold_uncertainty_score":0.4480937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024631563051668,"score_gpt":0.1910425455216255,"score_spread":0.1807962298911089,"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."}}