{"id":"W4308152292","doi":"10.1016/j.jenvman.2022.116603","title":"Converting industrial waste into a value-added cement material through ambient pressure carbonation","year":2022,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbonation; Waste management; Materials science; Thermogravimetric analysis; Industrial waste; Slag (welding); Cement; Environmental science; Metallurgy; Composite material; Chemical engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001996227,0.0003535545,0.0002717268,0.0004485193,0.0003603533,0.0007886296,0.0002878809,0.0004396151,0.001870482],"category_scores_gemma":[0.0003145141,0.0001434194,0.0004060734,0.0005860941,0.0003237959,0.0005478945,0.0003435064,0.0006754939,0.0003405701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000577144,"about_ca_system_score_gemma":0.000705838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002533838,"about_ca_topic_score_gemma":0.007680645,"domain_scores_codex":[0.9998115,0.00001369849,0.000008510245,0.0000258131,0.00007589903,0.00006470348],"domain_scores_gemma":[0.9999266,0.00001548706,0.00001023339,0.000009726651,0.00002061689,0.00001730692],"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":[0.0003834555,0.0003948297,0.001439681,0.000225593,0.00003757256,0.0005032887,0.0001107235,0.00339987,0.9715506,0.00208298,0.0004062946,0.01946505],"study_design_scores_gemma":[0.00002819352,0.0002601609,0.002567255,0.00001028751,0.00002069022,0.0001192342,0.00006453255,0.003951074,0.9901208,0.0003212561,0.002522514,0.0000140852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910159,0.0004055866,0.002264002,0.00013301,0.00007285845,0.00003305057,0.0001418547,0.00007804966,0.005855646],"genre_scores_gemma":[0.9974955,0.0002228785,0.0008343479,0.00001718222,0.000004702395,0.000005524441,0.00004860954,0.00001322061,0.001358138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002533838,"threshold_uncertainty_score":0.006257415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328295120356256,"score_gpt":0.2217337169591846,"score_spread":0.208450765755622,"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."}}