{"id":"W4389806022","doi":"10.1016/j.conbuildmat.2023.134570","title":"Accelerated carbonation of alkali-activated blended blast furnace slag and wood fly ash: Carbon capture kinetics, chemical and mechanical evolutions","year":2023,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Carbonation; Fly ash; Materials science; Ground granulated blast-furnace slag; Slag (welding); Metallurgy; Leaching (pedology); Chemical engineering; Composite material; Environmental science","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":[0.0001776463,0.0001524916,0.0002657335,0.0001633509,0.00005314412,0.00009698377,0.00004828133,0.0001538629,0.00007308932],"category_scores_gemma":[0.00004979632,0.0001534462,0.00001427139,0.0002136717,0.0001189048,0.00008968222,0.00008295722,0.00008018326,7.914461e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003121506,"about_ca_system_score_gemma":0.00001561925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005725413,"about_ca_topic_score_gemma":0.000003435763,"domain_scores_codex":[0.9990859,0.00005289068,0.0002915902,0.0002129056,0.0001431408,0.0002135627],"domain_scores_gemma":[0.9996546,0.00004019273,0.00005410898,0.00009740873,0.00007055716,0.00008314635],"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":[0.00003589479,0.000003661739,0.00005036646,0.0001459952,0.00004225488,0.000001541883,0.000065498,0.00001375124,0.9980282,0.0005701751,0.00004089916,0.001001753],"study_design_scores_gemma":[0.0005714688,0.00002725293,0.0005771877,0.00006601364,0.00003037275,0.00004003541,0.0001679996,0.001606041,0.9963812,0.000249386,0.0001330947,0.0001499911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987636,0.0000951833,0.00005388858,0.000104218,0.000437979,0.0001866294,0.00005541355,0.0001887788,0.0001143715],"genre_scores_gemma":[0.9990106,0.0004164471,0.0003975364,0.000004259875,0.00008177174,0.00001539356,0.00003967875,0.00002146995,0.0000128394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001647052,"threshold_uncertainty_score":0.6257355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663724375224902,"score_gpt":0.2435039431464711,"score_spread":0.2268666993942221,"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."}}