{"id":"W4413384302","doi":"10.1016/j.prostr.2025.07.105","title":"Statistical interpretation of strength data for High-volume fly ash concrete – a new mix proportioning technique","year":2025,"lang":"en","type":"article","venue":"Procedia Structural Integrity","topic":"Materials Engineering and Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heritage College","funders":"Techno India University","keywords":"Fly ash; Volume (thermodynamics); Interpretation (philosophy); Statistical analysis; Environmental science; Geotechnical engineering; Waste management; Civil engineering; Engineering; Statistics; Mathematics; Computer science; Physics","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":[0.006478702,0.0004975136,0.0005631045,0.002459464,0.0003091584,0.0007712705,0.0007102116,0.000469364,0.002671689],"category_scores_gemma":[0.01394503,0.0002302262,0.001102722,0.00262126,0.0006412318,0.0007235049,0.0005998202,0.001108406,0.0007932505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004066874,"about_ca_system_score_gemma":0.0005445799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008592305,"about_ca_topic_score_gemma":0.001024497,"domain_scores_codex":[0.9943936,0.001832128,0.0005072666,0.001135917,0.001956573,0.0001746468],"domain_scores_gemma":[0.9824352,0.01039969,0.003141567,0.002098026,0.001738692,0.000186857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00246004,0.0007930364,0.5223998,0.001702582,0.002149839,0.0009887553,0.002042585,0.01832578,0.1660464,0.004840553,0.003871885,0.2743789],"study_design_scores_gemma":[0.0000610877,0.006090632,0.7342265,0.0001334371,0.000562451,0.001506155,0.001606195,0.1242842,0.1070069,0.002767776,0.02159529,0.0001593327],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.72177,0.0006273725,0.2621154,0.0001716501,0.0002231679,0.0006928769,0.006337994,0.001967221,0.00609421],"genre_scores_gemma":[0.921926,0.0001759034,0.07139838,0.0000352698,0.00005295442,0.0007762553,0.003442267,0.0001675204,0.002025531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006478702,"threshold_uncertainty_score":0.03426301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380456241164461,"score_gpt":0.2804908179616458,"score_spread":0.2666862555500012,"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."}}