{"id":"W2952999898","doi":"10.82308/43300","title":"Feasibility analysis for carbon capture and utilization in cement-concrete industries","year":2013,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Carbonation; Cement; Tonne; Waste management; Greenhouse gas; Environmental science; Energy consumption; Business; Environmental economics; Natural resource economics; Engineering; Economics","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":[0.001716084,0.0006114242,0.0003518991,0.001265974,0.0006982347,0.001310421,0.0007001678,0.0008725928,0.008289677],"category_scores_gemma":[0.002530242,0.0004159743,0.001097885,0.0008015541,0.0004607424,0.001383428,0.0007057677,0.0006661923,0.000557356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505118,"about_ca_system_score_gemma":0.00208726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008619055,"about_ca_topic_score_gemma":0.01003809,"domain_scores_codex":[0.9991506,0.0002662145,0.00002190702,0.0001055068,0.0002708709,0.0001849026],"domain_scores_gemma":[0.9982108,0.001134893,0.0001102521,0.00005688337,0.0004035934,0.00008345358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002066493,0.001123106,0.0356572,0.0009576813,0.00008946191,0.001757288,0.000220166,0.811718,0.05169914,0.04144035,0.001681262,0.05158983],"study_design_scores_gemma":[0.00009535456,0.001787766,0.02160949,0.00008049325,0.0001480274,0.0002427577,0.001319737,0.9412034,0.02089768,0.008677455,0.003875187,0.0000626355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9100175,0.0003341415,0.04073371,0.0003048265,0.00001992404,0.0007090329,0.0006363933,0.00008486179,0.04715958],"genre_scores_gemma":[0.9875684,0.0001556151,0.009341654,0.00001430996,0.000003378016,0.0001660761,0.0002241296,0.0000108723,0.002515531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008619055,"threshold_uncertainty_score":0.02773172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04291808494878056,"score_gpt":0.2627476825844282,"score_spread":0.2198295976356477,"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."}}