{"id":"W2731205484","doi":"10.1016/j.sandf.2017.06.003","title":"Description of induced anisotropy in microstructure of granular soils","year":2017,"lang":"en","type":"article","venue":"SOILS AND FOUNDATIONS","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Anisotropy; Granular material; Microstructure; Deformation (meteorology); Materials science; Discrete element method; Work (physics); Geotechnical engineering; Stress (linguistics); Geomechanics; Geology; Geometry; Mechanics; Composite material; Physics; Optics; Mathematics; Engineering; Mechanical 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":[0.0002379581,0.0001781394,0.000191926,0.0004840289,0.0001605767,0.0004964882,0.0003590143,0.0002280961,0.0004477019],"category_scores_gemma":[0.0005637498,0.0001477656,0.0001876762,0.0002294669,0.0004182895,0.0004654861,0.0002248179,0.0002695881,0.0000877926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004118504,"about_ca_system_score_gemma":0.0003205314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001192703,"about_ca_topic_score_gemma":0.001826498,"domain_scores_codex":[0.9999161,0.00001322872,0.00000555178,0.00001465351,0.0000357038,0.00001472289],"domain_scores_gemma":[0.999788,0.00005204987,0.00006783631,0.00003773597,0.00003601674,0.00001847881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003960012,0.0000717706,0.009017852,0.0001122282,0.00002081267,0.0003472768,0.0001167619,0.7523016,0.1245439,0.09439427,0.0002604827,0.01877335],"study_design_scores_gemma":[0.000003463742,0.00001894106,0.002604135,0.000004038422,0.000002550632,0.00008852626,0.00001650977,0.9821354,0.003774749,0.01085454,0.0004907146,0.000006364415],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3991621,0.0003760513,0.5948287,0.0001245969,0.00002425692,0.00005866507,0.0001888565,0.0001751897,0.005061721],"genre_scores_gemma":[0.9727308,0.0002213134,0.02584474,0.00001585896,0.00001330966,0.00003987961,0.000079989,0.0000415535,0.001012497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001192703,"threshold_uncertainty_score":0.002988219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037179565159515,"score_gpt":0.2365109551943931,"score_spread":0.2161391595427979,"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."}}