{"id":"W3041381282","doi":"10.1016/j.xcrp.2020.100104","title":"Economic and Environmental Assessment of Integrated Carbon Capture and Utilization","year":2020,"lang":"en","type":"article","venue":"Cell Reports Physical Science","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canada First Research Excellence Fund; University of Calgary","keywords":"Environmental science; Carbon fibers; Carbon dioxide; Production (economics); Formic acid; Carbon capture and storage (timeline); Waste management; Fossil fuel; Carbon sequestration; Ton; Baseline (sea); Environmental economics; Computer science; Engineering; Chemistry; Climate change; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005017293,0.00007876564,0.0001184944,0.00002565933,0.00001047845,0.00001675672,0.00005793857,0.00002766451,0.000002481656],"category_scores_gemma":[0.00001363658,0.00006954923,0.00001280936,0.000101765,0.0003517743,0.00008135554,0.00007087205,0.00008480351,1.293083e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007043992,"about_ca_system_score_gemma":0.00002421524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001791783,"about_ca_topic_score_gemma":0.000001206839,"domain_scores_codex":[0.9994738,0.000002679792,0.0001128993,0.0002090593,0.0001040204,0.00009759381],"domain_scores_gemma":[0.9997634,0.00001005415,0.00004243435,0.0001143703,0.000004207121,0.00006559228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.077112e-7,0.000009382111,0.008074702,0.0000229843,0.000002439687,0.00001246562,0.0002796316,0.002413989,0.9872571,0.000183556,0.00001417416,0.001728958],"study_design_scores_gemma":[0.00007282491,0.00004216302,0.02415564,0.000007603644,0.00001269623,0.0000156729,0.0004302367,0.5120703,0.4624981,0.0003192711,0.0002257466,0.0001497548],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971504,0.0001345004,0.0001397872,0.00002540906,0.00004448761,0.00007909339,0.000002963026,0.00009994936,0.002323455],"genre_scores_gemma":[0.9997912,0.0000322686,0.0001423869,0.000008489142,0.00001135294,0.000002684479,0.000002453941,0.000005982457,0.000003168424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5247591,"threshold_uncertainty_score":0.2836135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008203674591571914,"score_gpt":0.2119909206769638,"score_spread":0.2037872460853918,"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."}}