{"id":"W4392436402","doi":"10.1016/j.still.2024.106055","title":"Physical, topological and hydraulic properties of an Oxisol under conservation practices: X-ray tomography imaging and pore-network simulation","year":2024,"lang":"en","type":"article","venue":"Soil and Tillage Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"School of Biosciences, University of Nottingham; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Natural Science Foundation of China; Key Research and Development Program of Zhejiang Province; University of Guelph","keywords":"Tortuosity; Voxel; Porosity; RADIUS; Materials science; Macropore; Tomography; Soil science; Geometry; Oxisol; Soil water; Geology; Chemistry; Mathematics; Physics; Composite material; Artificial intelligence; Computer science; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001540906,0.0002137241,0.0002180287,0.0003347359,0.0003700626,0.000556254,0.0005063417,0.000439475,0.001065751],"category_scores_gemma":[0.0003525984,0.0001757583,0.0002229333,0.0004216298,0.0005056054,0.0003339878,0.0002125744,0.0001912839,0.00008569178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008857137,"about_ca_system_score_gemma":0.0006631589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05746982,"about_ca_topic_score_gemma":0.0379667,"domain_scores_codex":[0.9999543,0.000006585036,0.00000237902,0.00001285808,0.000007170212,0.00001669441],"domain_scores_gemma":[0.9997848,0.0001096629,0.00002335781,0.00001200657,0.00003705523,0.00003317788],"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":[0.001219723,0.0008780229,0.1152413,0.00008410295,0.00008170511,0.001193976,0.0004266162,0.816545,0.05280698,0.0008677117,0.0004547724,0.01019998],"study_design_scores_gemma":[0.00006792256,0.0002882424,0.09067196,0.000005642581,0.00005254594,0.0001051887,0.0006258546,0.9015415,0.0061298,0.000236345,0.0002500406,0.00002491448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993764,0.000006309972,0.0001764937,0.000009587357,8.271201e-7,0.00000199861,0.00006282396,0.00001073826,0.0003549377],"genre_scores_gemma":[0.9996382,0.000008597516,0.0001477376,0.000001937426,3.548781e-7,0.000001421294,0.00005489675,0.000001855588,0.0001450729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05746982,"threshold_uncertainty_score":0.1142706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05864150826298877,"score_gpt":0.3263726531702148,"score_spread":0.267731144907226,"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."}}