{"id":"W7115021325","doi":"10.1016/j.conbuildmat.2025.144879","title":"Biomass electrostatic precipitator fly ash treatment methodologies to maximize cement replacement in mortar and concrete","year":2025,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Mitacs","keywords":"Fly ash; Cement; Calcination; Compressive strength; Cementitious; Mortar; Biomass (ecology); Coal","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":[0.0001593427,0.0003407011,0.0001958089,0.0004520588,0.0002019133,0.0002364521,0.0002213638,0.0001909104,0.0006323857],"category_scores_gemma":[0.0001330885,0.0001702928,0.0002559095,0.0003079521,0.0001532399,0.0001948183,0.0001648776,0.0003073153,0.0002226589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002580391,"about_ca_system_score_gemma":0.0002439824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062301,"about_ca_topic_score_gemma":0.007303515,"domain_scores_codex":[0.9998826,0.00001403793,0.000009134232,0.00002077856,0.00005734596,0.00001613234],"domain_scores_gemma":[0.999925,0.00001316287,0.00002758293,0.000006140447,0.00001868048,0.000009455263],"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":[0.00002540751,0.00003289909,0.0001614693,0.00008199041,0.000006191715,0.00001908072,0.00001765944,0.0006615058,0.995463,0.00006989382,0.0000166312,0.00344436],"study_design_scores_gemma":[0.000002985674,0.0001613656,0.001444889,0.000003618579,0.00000806015,0.0000364498,0.00001462665,0.001044799,0.9965635,0.0000222438,0.0006937432,0.000003800272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875767,0.001893587,0.00839201,0.00003485463,0.00001431592,0.00004937701,0.00009259091,0.00006811955,0.001878469],"genre_scores_gemma":[0.9898516,0.0009038397,0.007780957,0.00001171688,0.000003599669,0.00001520156,0.00006434602,0.0000179177,0.001350692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001062301,"threshold_uncertainty_score":0.002115488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438498038019432,"score_gpt":0.308185421017163,"score_spread":0.2838004406369687,"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."}}