{"id":"W1895210749","doi":"10.1139/cgj-2013-0476","title":"Predicting the behaviour of coal wash and steel slag mixtures under triaxial conditions","year":2014,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geotechnical engineering; Coal; Slag (welding); Plasticity; Constitutive equation; Materials science; Environmental science; Waste management; Engineering; Metallurgy; Structural engineering; Finite element method; Composite material","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":[0.0002558142,0.0005479257,0.0003012806,0.0006064447,0.0002541322,0.0004842782,0.0004726336,0.001048439,0.0008271998],"category_scores_gemma":[0.0006922335,0.0002470828,0.0002817828,0.0005411704,0.0005382808,0.0005874287,0.0003088323,0.0003595314,0.0002103892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004021901,"about_ca_system_score_gemma":0.0004156826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056739,"about_ca_topic_score_gemma":0.01342312,"domain_scores_codex":[0.9998841,0.00001487892,0.00001009085,0.00002206312,0.00004322482,0.00002546944],"domain_scores_gemma":[0.9997901,0.00009217676,0.00003849559,0.00002286028,0.00003391262,0.00002243356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003723929,0.0003518967,0.02003967,0.00007746114,0.00002135989,0.0003066385,0.0001193356,0.8508539,0.1109971,0.000564674,0.0001645924,0.01613088],"study_design_scores_gemma":[0.000007416234,0.0001377642,0.005882956,0.000002483282,0.000003887124,0.00002167055,0.00004756125,0.9761524,0.01757533,0.00008620455,0.00007346547,0.000008813179],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963717,0.00004262978,0.002703762,0.00002766328,0.000003493354,0.00001120713,0.00008786551,0.00005249898,0.0006992735],"genre_scores_gemma":[0.9990761,0.00003649691,0.0005867873,0.000002472135,8.09554e-7,0.00000566454,0.00007001598,0.000004023716,0.0002174817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01056739,"threshold_uncertainty_score":0.02101177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007640755251835323,"score_gpt":0.196138004037285,"score_spread":0.1884972487854497,"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."}}