{"id":"W3047453419","doi":"10.1016/j.enggeo.2020.105802","title":"Three-dimensional mesoscale computational modeling of soil-rock mixtures with concave particles","year":2020,"lang":"en","type":"article","venue":"Engineering Geology","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":153,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Excellence in Mining Innovation; Laurentian University","funders":"Fundamental Research Funds for the Central Universities; Higher Education Discipline Innovation Project; State Administration of Foreign Experts Affairs; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Mesoscale meteorology; Homogenization (climate); Geology; Stiffness; Regular polygon; Geotechnical engineering; Position (finance); Algorithm; Computer science; Biological system; Materials science; Mathematics; Geometry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002962707,0.0005977018,0.0008864098,0.0005268887,0.000998978,0.001833981,0.001812182,0.002320945,0.002194026],"category_scores_gemma":[0.001532665,0.0008035015,0.0007539669,0.0006539614,0.00164021,0.000947782,0.001338999,0.001034986,0.0002601949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217678,"about_ca_system_score_gemma":0.001409469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04132327,"about_ca_topic_score_gemma":0.02081474,"domain_scores_codex":[0.9998222,0.00004102529,0.00001175935,0.00003351723,0.00004038444,0.00005111],"domain_scores_gemma":[0.9993068,0.0003452831,0.00008293768,0.00004780051,0.00008113163,0.0001360223],"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":[0.00002342027,0.00003605547,0.0009873532,0.000008390844,0.00001183832,0.00006090708,0.00001871016,0.9964876,0.0003213291,0.001454451,0.0001210837,0.0004688711],"study_design_scores_gemma":[0.000005568755,0.000003189501,0.0001637257,0.000001008699,0.000001399365,0.000003442853,0.000007511632,0.9995111,0.00004333208,0.0002140987,0.00004288778,0.00000272289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533416,0.0005451215,0.1185318,0.001499927,0.0002361685,0.0001179757,0.0008897383,0.0005033119,0.02433418],"genre_scores_gemma":[0.9894137,0.0001163448,0.007547919,0.00009658874,0.00004403596,0.00005002192,0.0001634235,0.00006372289,0.002504193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04132327,"threshold_uncertainty_score":0.08216548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006867687025099311,"score_gpt":0.1778023580065907,"score_spread":0.1709346709814914,"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."}}