{"id":"W4412702194","doi":"10.1016/j.conbuildmat.2025.142835","title":"Comparative analysis of coal-derived and biomass-derived fly ash as silica sources in autoclaved aerated concrete","year":2025,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China","keywords":"Fly ash; Autoclaved aerated concrete; Coal; Biomass (ecology); Waste management; Environmental science; Aeration; Pulp and paper industry; Materials science; Composite material; Engineering; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002127646,0.0001937012,0.0002331756,0.0004516288,0.0002317454,0.0003204424,0.0001996436,0.0002097757,0.0008123419],"category_scores_gemma":[0.0002080586,0.0001302006,0.000297624,0.0003648754,0.0002607437,0.0002150679,0.000134921,0.0001926864,0.0002039298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003211575,"about_ca_system_score_gemma":0.0003558506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00463145,"about_ca_topic_score_gemma":0.01054708,"domain_scores_codex":[0.9998503,0.00001958712,0.00001198954,0.00002931494,0.00006551963,0.00002319142],"domain_scores_gemma":[0.9997969,0.00005817809,0.00002291127,0.00001162107,0.00008567207,0.00002475237],"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":[0.0006259237,0.00004466563,0.002727975,0.00009691589,0.00002322612,0.0001061994,0.00006436662,0.001432972,0.9918223,0.0001294007,0.00002458423,0.002901478],"study_design_scores_gemma":[0.00000897689,0.0003193181,0.03075581,0.00001313673,0.00004409155,0.00005281645,0.0001550951,0.002971815,0.964862,0.00005402751,0.0007527775,0.00001017251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985282,0.000323644,0.0002082447,0.000004482015,0.000002565982,0.000004532976,0.00009856974,0.000004850357,0.0008248076],"genre_scores_gemma":[0.9986324,0.0002113574,0.0001957124,0.000002746287,0.000001398171,0.00000346003,0.0001106142,0.000004167254,0.0008380524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00463145,"threshold_uncertainty_score":0.009208977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511534234202331,"score_gpt":0.2834250143473797,"score_spread":0.2683096720053563,"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."}}