{"id":"W2066518161","doi":"10.1016/j.cemconres.2014.07.020","title":"Mathematical modeling of CO2 uptake by concrete during accelerated carbonation curing","year":2014,"lang":"en","type":"article","venue":"Cement and Concrete Research","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":270,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Carbonation; Curing (chemistry); Dissolution; Cement; Carbonatation; Materials science; Chemical engineering; Portlandite; Composite material; Portland cement","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":[0.000612557,0.0005668849,0.0006556373,0.0005745019,0.0005142211,0.0009928179,0.001135888,0.001576141,0.002450159],"category_scores_gemma":[0.001796662,0.0004751006,0.0007979707,0.0004249784,0.001100168,0.001282274,0.0006375408,0.0009578956,0.0002973781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0020541,"about_ca_system_score_gemma":0.001371113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03382947,"about_ca_topic_score_gemma":0.01412307,"domain_scores_codex":[0.9998466,0.00003798023,0.000007907305,0.0000305468,0.0000388904,0.00003816977],"domain_scores_gemma":[0.9992918,0.0004342228,0.00007574037,0.00002534337,0.0001408887,0.00003188438],"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":[0.00002477774,0.00002586796,0.0002550861,0.00005339975,0.000007531085,0.0000573543,0.00005130983,0.9721486,0.002474235,0.02338414,0.0002383781,0.00127935],"study_design_scores_gemma":[0.000002758235,0.000004412501,0.00008490598,0.000002249305,0.000002207809,0.000005596371,0.000008332749,0.9981908,0.0003230297,0.00118825,0.0001831438,0.000004338871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4469621,0.003189389,0.4385307,0.003131945,0.0004712315,0.0002208102,0.0009230956,0.0003767257,0.1061941],"genre_scores_gemma":[0.9704052,0.0006163086,0.005152097,0.0001044464,0.00005116006,0.00008654352,0.0001022909,0.00007296332,0.02340912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03382947,"threshold_uncertainty_score":0.06726509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05791061749832275,"score_gpt":0.3065916422247415,"score_spread":0.2486810247264188,"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."}}