{"id":"W4400255492","doi":"10.1051/e3sconf/202454404008","title":"Using X-ray micro CT imaging data to obtain particle morphology and soil fabric parameters","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Void ratio; Soil water; Void (composites); Materials science; Particle size; Shear (geology); Particle (ecology); Geotechnical engineering; Composite material; Geology; Mineralogy; Soil science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003662547,0.0005164382,0.0002073304,0.003357472,0.0003551302,0.001032136,0.0003652584,0.0003316136,0.002195918],"category_scores_gemma":[0.000907746,0.0002876779,0.0002076284,0.002420812,0.0003320318,0.0003439959,0.0002183859,0.0003124207,0.0006027308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006292486,"about_ca_system_score_gemma":0.001021389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06635111,"about_ca_topic_score_gemma":0.2340951,"domain_scores_codex":[0.9998552,0.000008527369,0.00001301369,0.00002855394,0.00007613578,0.00001856887],"domain_scores_gemma":[0.9994856,0.0001041831,0.00008942393,0.00004261694,0.0002560518,0.00002209146],"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":[0.0003350834,0.0001082257,0.1730572,0.0005835771,0.0001084382,0.0009524968,0.0006626652,0.01152448,0.6536194,0.0008492835,0.001096471,0.1571027],"study_design_scores_gemma":[0.00002203458,0.0001306632,0.6813732,0.0001272054,0.0001199059,0.001644621,0.0009093434,0.06172153,0.2458998,0.0005705798,0.007403394,0.00007772505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8288465,0.0007578079,0.1499872,0.0001169354,0.00002260134,0.0003636279,0.006130788,0.001166851,0.01260763],"genre_scores_gemma":[0.82899,0.001242874,0.1625164,0.00006746186,0.000009357121,0.0001273214,0.002305449,0.0001449987,0.004596198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06635111,"threshold_uncertainty_score":0.1319298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05524419576033558,"score_gpt":0.2754894556886782,"score_spread":0.2202452599283427,"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."}}