{"id":"W2592339610","doi":"","title":"Life Cycle Assessment and Environmental Efficiency of Concrete Materials","year":2015,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère des Transports","keywords":"Life-cycle assessment; Aggregate (composite); Cementitious; Durability; Fly ash; Cement; Environmental science; Civil engineering; Environmental impact assessment; Engineering; Waste management; Process engineering; Computer science; Materials science; Production (economics); Database; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001003176,0.0001905207,0.0004282221,0.00003841723,0.0000423404,0.000007732625,0.0002045298,0.0001871846,0.003637859],"category_scores_gemma":[0.000006171112,0.0002471007,0.00005097883,0.00002201443,0.00007471892,0.0002604716,0.00004449549,0.00009016108,0.000006629602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002716699,"about_ca_system_score_gemma":0.00007706258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005703408,"about_ca_topic_score_gemma":0.0008667334,"domain_scores_codex":[0.999263,0.00002553109,0.0001400911,0.0001744695,0.0002381486,0.0001587651],"domain_scores_gemma":[0.9994144,0.00001770783,0.0001869939,0.0002118689,0.00002682244,0.0001422324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005592263,0.00003666625,0.0008254275,0.003781977,0.0008843177,0.00004117054,0.04808283,0.002189991,0.8856126,0.0001865229,0.001929063,0.05587022],"study_design_scores_gemma":[0.008524443,0.001437895,0.5863036,0.002133305,0.001453502,0.00002233682,0.2032362,0.1129634,0.07708647,0.00004630998,0.002980336,0.003812169],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703858,0.002270191,0.00002430119,0.000009780259,0.0003110583,0.0001926488,0.0001175486,0.00004768563,0.02664102],"genre_scores_gemma":[0.9958239,0.002557941,0.0005324528,0.000001330571,0.00002228075,3.735721e-7,0.0002773741,0.00002511557,0.0007592521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8085261,"threshold_uncertainty_score":0.9999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007014717984524699,"score_gpt":0.2227749803433059,"score_spread":0.2157602623587812,"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."}}