{"id":"W2263013334","doi":"10.1590/01000683rbcs20140360","title":"THREE DIMENSIONAL CHARACTERIZATION OF SOIL MACROPOROSITY BY X-RAY MICROTOMOGRAPHY","year":2015,"lang":"en","type":"article","venue":"Revista Brasileira de Ciência do Solo","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Comissão Nacional de Energia Nuclear; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Soil structure; Characterization (materials science); Soil test; Soil science; Materials science; Mineralogy; Soil water; Geology; Nanotechnology","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":[0.0001848119,0.0002452161,0.000164797,0.001247938,0.0001998112,0.0005044328,0.0001746142,0.0002449041,0.001219824],"category_scores_gemma":[0.0002710171,0.0001961018,0.0001458139,0.0004751468,0.000315115,0.000375777,0.0002332728,0.0003311672,0.0001556145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344873,"about_ca_system_score_gemma":0.0001663032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001450371,"about_ca_topic_score_gemma":0.002829292,"domain_scores_codex":[0.999895,0.000009121175,0.000006812498,0.0000273379,0.00004327693,0.0000184399],"domain_scores_gemma":[0.9997395,0.0001051416,0.00004761724,0.00002196628,0.00006183369,0.00002385618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004387416,0.00001179494,0.007699821,0.00007485813,0.00000768503,0.0001115271,0.0001888227,0.0004717614,0.9830098,0.0002128767,0.00003027468,0.008136994],"study_design_scores_gemma":[0.000009899455,0.0001471139,0.2732908,0.00002984833,0.00004192934,0.001245891,0.0006189792,0.01305108,0.707673,0.0004842758,0.003367942,0.00003932644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695745,0.0006510186,0.02703857,0.00002645479,0.000007192127,0.00003332871,0.000581541,0.0001520389,0.001935475],"genre_scores_gemma":[0.9775588,0.0004864482,0.02063104,0.00001600457,0.000004583077,0.00003717265,0.0003166115,0.00002652007,0.000922777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001450371,"threshold_uncertainty_score":0.004080772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147403105600763,"score_gpt":0.2118503450223453,"score_spread":0.2003763139663377,"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."}}