{"id":"W2326561564","doi":"10.1061/40591(269)17","title":"Ultra Fine Fly Ash for High Performance Concrete","year":2001,"lang":"en","type":"article","venue":"","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fly ash; Computer science; Environmental science; Materials science; Composite material","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":[0.0002042896,0.0004249101,0.0001742911,0.000638354,0.0003372147,0.000434133,0.0002348943,0.0004214823,0.004132229],"category_scores_gemma":[0.000267603,0.0001556899,0.0002215249,0.000364197,0.0001899276,0.0003297913,0.0002479425,0.0003706444,0.001860388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004344843,"about_ca_system_score_gemma":0.0003361217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001169957,"about_ca_topic_score_gemma":0.003813091,"domain_scores_codex":[0.9998116,0.00002235507,0.00001148001,0.00001839155,0.0001235731,0.00001262093],"domain_scores_gemma":[0.9998642,0.00002542436,0.00003258937,0.0000245681,0.00003792653,0.00001537132],"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":[0.00009617543,0.00007559176,0.0006059455,0.0004045682,0.00001034779,0.0003050659,0.00003707256,0.001416874,0.9134428,0.001804202,0.0008898451,0.08091161],"study_design_scores_gemma":[0.00001519205,0.0004440638,0.006099185,0.00005548328,0.000023825,0.001101407,0.00004562215,0.002078177,0.9132882,0.001163542,0.07566351,0.00002179144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6972156,0.08621069,0.1546036,0.00108295,0.001022445,0.0005250173,0.001422797,0.002052022,0.05586492],"genre_scores_gemma":[0.8472285,0.01742499,0.08732226,0.0001265685,0.00009470553,0.00009087682,0.001323482,0.0001365259,0.04625211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004132229,"threshold_uncertainty_score":0.01382375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617597265991631,"score_gpt":0.2319769316899064,"score_spread":0.2058009590299901,"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."}}