{"id":"W3202923217","doi":"10.32920/ryerson.14664654.v1","title":"Toward the use of high volume recycled concrete aggregate in new concrete production","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Aggregate (composite); Durability; Production (economics); Waste management; Environmental science; Volume (thermodynamics); Properties of concrete; Materials science; Engineering; Cement; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003158367,0.0006433294,0.001047993,0.0002474509,0.00003944388,0.0002280604,0.0007003355,0.0005670273,0.0003674586],"category_scores_gemma":[0.0003056489,0.000541662,0.0002653062,0.000545434,0.0001648216,0.0005161816,0.0005922357,0.001335602,0.0000306307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002856393,"about_ca_system_score_gemma":0.0003638536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004671417,"about_ca_topic_score_gemma":0.0002444938,"domain_scores_codex":[0.9968525,0.0001851189,0.00112528,0.000789078,0.0004660172,0.0005820234],"domain_scores_gemma":[0.9975526,0.0001470352,0.0003498502,0.001570136,0.0002251289,0.0001552309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005788106,0.000008682814,0.006517742,0.00575482,0.002359328,0.0004091422,0.01328828,0.6707061,0.07508908,0.0009025624,0.06676266,0.1576228],"study_design_scores_gemma":[0.002281909,0.0001182047,0.006061897,0.00548953,0.0003618219,0.0001849682,0.0005325893,0.6718475,0.2638354,0.0005906987,0.04569042,0.003005068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860516,0.003313232,0.002794515,0.001834751,0.003818542,0.00100584,0.00003353692,0.0005159132,0.0006320672],"genre_scores_gemma":[0.981146,0.007572865,0.006883652,0.00009410419,0.0005181816,0.00009072586,0.0001664188,0.0001515656,0.003376534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1887463,"threshold_uncertainty_score":0.9997035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04452228760504569,"score_gpt":0.2228053203814874,"score_spread":0.1782830327764418,"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."}}