{"id":"W4400673600","doi":"10.1139/cjce-2024-0113","title":"Utilization of marble waste as fine aggregate in the composition of high-performance concrete containing mineral additions","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aggregate (composite); Waste management; Environmental science; Composition (language); Mineral; Construction waste; Engineering; Materials science; Metallurgy; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002200499,0.0003446157,0.0002613453,0.000327579,0.0001850734,0.0003742156,0.0002516811,0.000253837,0.0005298185],"category_scores_gemma":[0.0002606741,0.0001214472,0.0002644206,0.000212918,0.0001858864,0.00033683,0.0002732971,0.0002891201,0.0001606268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002261795,"about_ca_system_score_gemma":0.0002943425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001292371,"about_ca_topic_score_gemma":0.003954703,"domain_scores_codex":[0.9997534,0.00005082841,0.00002173314,0.0000442394,0.00008926893,0.00004057444],"domain_scores_gemma":[0.9998026,0.00002204528,0.00007861322,0.00001598615,0.0000370271,0.00004362202],"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":[0.00020728,0.00005765006,0.0008057376,0.00006220755,0.00001118709,0.00006434998,0.00001448001,0.0003612274,0.996161,0.00002630913,0.000006102224,0.002222591],"study_design_scores_gemma":[0.000006076301,0.0009009874,0.004095639,0.000008949447,0.0000497707,0.0001065025,0.00003988496,0.0009470597,0.9932346,0.00001570436,0.0005889705,0.000005894708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988035,0.0002851329,0.0005060649,0.000009538427,0.000006083275,0.000009279338,0.00002203243,0.00001331618,0.0003451066],"genre_scores_gemma":[0.9982597,0.0002457057,0.001082571,0.00000695595,0.000002412966,0.000003475868,0.00003296774,0.000003770853,0.0003624562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001292371,"threshold_uncertainty_score":0.002569675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333868650170325,"score_gpt":0.2163979078496124,"score_spread":0.2030592213479092,"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."}}