{"id":"W2911705560","doi":"10.1016/b978-0-12-813734-5.00056-1","title":"Carbon Capture","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Syncrude","keywords":"Greenhouse gas; Environmental science; Carbon fibers; Fossil fuel; Carbon capture and storage (timeline); Refinery; Carbon footprint; Oil refinery; Waste management; Global warming; Climate change; Engineering; Environmental engineering; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008659387,0.0006692274,0.0007103052,0.0002227201,0.00003344153,0.0000776778,0.0007837653,0.001184128,0.00006543559],"category_scores_gemma":[0.00002907368,0.0006704473,0.0002839442,0.000004203653,0.0002242174,0.00002870235,0.0001853737,0.001217508,0.0001214627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001959797,"about_ca_system_score_gemma":0.00003983627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001079279,"about_ca_topic_score_gemma":0.00008105531,"domain_scores_codex":[0.9985851,0.000003814152,0.0003258117,0.0004057245,0.0002945425,0.000385029],"domain_scores_gemma":[0.997903,0.00002596457,0.0001354043,0.001785535,0.00005435744,0.00009576754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002707848,9.516397e-7,0.00000170436,0.0001765484,0.0001988446,0.0002043266,0.00009303643,0.0000193857,0.0002775943,0.005513652,0.001268605,0.9922426],"study_design_scores_gemma":[0.0001313346,0.00001104876,0.000004843811,0.0003537937,0.0001138263,0.00003901587,0.00000447625,0.00005422111,0.0004427415,0.01336856,0.9847602,0.0007159568],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006220484,0.009231713,0.0000010837,0.00003794738,0.001209211,0.0003846621,0.00003631526,0.002269043,0.9867678],"genre_scores_gemma":[0.01286134,0.0002903038,0.0001294808,0.00004799067,0.0003990809,0.00004223548,0.00001423692,0.0002873124,0.985928],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9915267,"threshold_uncertainty_score":0.9995747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055189425158063,"score_gpt":0.2029534994280106,"score_spread":0.19240160517643,"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."}}