{"id":"W4399780759","doi":"10.1016/j.conbuildmat.2024.136938","title":"Ultra-high-performance concrete for nuclear applications: A review of raw materials and mix design approaches","year":2024,"lang":"en","type":"review","venue":"Construction and Building Materials","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Nuclear Safety Commission; McMaster University","keywords":"Raw material; Construction engineering; Engineering; Computer science; Process engineering; Environmental science; Forensic engineering; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008594655,0.0003998262,0.001620399,0.0001847636,0.00008882049,0.0002494307,0.0001633535,0.0002309185,0.000229169],"category_scores_gemma":[0.00002963085,0.0003307112,0.00007836908,0.0001467081,0.0001812255,0.0001243509,0.00006774814,0.00008333402,0.0000145268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003711682,"about_ca_system_score_gemma":0.00004199738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003276967,"about_ca_topic_score_gemma":2.162797e-8,"domain_scores_codex":[0.9981507,0.0001334948,0.0009355213,0.000389131,0.0001314775,0.0002596697],"domain_scores_gemma":[0.9993013,0.0001024734,0.0002202679,0.0002574911,0.00004811476,0.00007034096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000152406,0.000001079385,1.945856e-8,0.4800026,0.0001790614,4.458847e-7,0.00001270202,4.754235e-7,0.1933149,0.002101115,0.0003880318,0.3239843],"study_design_scores_gemma":[0.0002976047,0.0000761405,1.015047e-7,0.09288074,0.001555227,0.0002114801,0.0000178354,0.00001202139,0.3672666,0.0001795176,0.5368879,0.0006148505],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004196405,0.9908678,0.0007526362,0.00000844911,0.0006586649,0.002792871,0.0005347427,0.0001614599,0.00002696161],"genre_scores_gemma":[0.0008536372,0.9938931,0.003857225,0.00001109891,0.000256503,0.0008300553,0.00018578,0.0001003691,0.00001218102],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5364999,"threshold_uncertainty_score":0.9999145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0640941042136088,"score_gpt":0.2939575509417158,"score_spread":0.229863446728107,"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."}}