{"id":"W2164737909","doi":"10.1061/47624(403)1","title":"Gradation and Performance Research of Cold Recycled Mixture","year":2011,"lang":"en","type":"article","venue":"","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"","keywords":"Gradation; Process engineering; Environmental science; Computer science; Waste management; Materials science; Artificial intelligence; Engineering","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":[0.0006037632,0.0003864637,0.0004632832,0.0008393816,0.000302064,0.0004815302,0.0006487772,0.0003612553,0.001191765],"category_scores_gemma":[0.0006210512,0.0002071407,0.0004510857,0.0005217566,0.0002639382,0.0006707148,0.0004876189,0.0003629657,0.0004988213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000558964,"about_ca_system_score_gemma":0.0002024193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002451258,"about_ca_topic_score_gemma":0.003121486,"domain_scores_codex":[0.9992749,0.00008012111,0.00006553703,0.0001818816,0.0003201768,0.0000774141],"domain_scores_gemma":[0.9997157,0.00003230008,0.00005741661,0.00003594397,0.0001247019,0.00003390104],"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":[0.0005614531,0.0001254602,0.004276011,0.0001832474,0.000033813,0.0001175794,0.0001846536,0.004762446,0.9698159,0.0003243858,0.0001138278,0.01950127],"study_design_scores_gemma":[0.000009994775,0.0006697861,0.006496713,0.00000630353,0.00004665493,0.00008661912,0.00005179985,0.004391375,0.9867681,0.000042009,0.001412102,0.00001855221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930876,0.0005618451,0.004813339,0.0000152922,0.000009287448,0.00001663512,0.00008676446,0.0001199565,0.001289324],"genre_scores_gemma":[0.9951882,0.0002354463,0.002148882,0.00001214267,0.000003737503,0.000008233542,0.0001357312,0.00003054311,0.002237001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002451258,"threshold_uncertainty_score":0.004873931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06396598308513388,"score_gpt":0.2590052182380546,"score_spread":0.1950392351529207,"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."}}