{"id":"W2538344208","doi":"10.1139/cjce-2016-0277","title":"Analysis of energy consumption in the production of hot mix asphalt (batch mix plant)","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gradation; Asphalt; Environmental science; Moisture; Asphalt pavement; Drum; Energy consumption; Aggregate (composite); Production (economics); Work (physics); Waste management; Engineering; Materials science; Composite material; Computer science","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":[0.0002243545,0.0003111203,0.0002365852,0.0006701781,0.0001349967,0.0002403906,0.0002549573,0.0001641866,0.001303204],"category_scores_gemma":[0.000653401,0.0001734656,0.0002851365,0.0008482101,0.0001105219,0.0002781179,0.0001130563,0.000170537,0.0002561339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000529561,"about_ca_system_score_gemma":0.0002159533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006959141,"about_ca_topic_score_gemma":0.009608204,"domain_scores_codex":[0.9997949,0.00002741667,0.000009291189,0.00004599619,0.000103132,0.00001931036],"domain_scores_gemma":[0.9994038,0.0004057128,0.00006518282,0.00003291901,0.00007010496,0.00002235213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003369964,0.001008543,0.4963787,0.0003209552,0.0002406649,0.0006477317,0.0003391886,0.1164915,0.281779,0.0003209772,0.0003587274,0.09874404],"study_design_scores_gemma":[0.00001530899,0.001042298,0.8143113,0.000003795639,0.00006185047,0.0001688145,0.0002350869,0.1007964,0.08275958,0.00009562054,0.0004820371,0.00002771728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983278,0.0000129777,0.001108176,0.000002271168,5.457727e-7,0.000009785538,0.0001995249,0.00001436966,0.0003245155],"genre_scores_gemma":[0.9983041,0.00001261817,0.0008336994,8.280832e-7,4.176714e-7,0.000008666853,0.000345991,0.00000611418,0.0004874803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006959141,"threshold_uncertainty_score":0.01383728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009324028965069895,"score_gpt":0.1883637718303773,"score_spread":0.1790397428653074,"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."}}