{"id":"W4242346670","doi":"10.4025/actasciagron.v42i1.42491","title":"3D soil void space lacunarity as an index of degradation after land use change","year":2020,"lang":"en","type":"article","venue":"Acta Scientiarum Agronomy","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Ministerio de Ciencia, Tecnología e Innovación Productiva; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Lacunarity; Porosity; Soil science; Environmental science; Soil water; Spatial distribution; Geology; Fractal; Remote sensing; Mathematics; Geotechnical engineering; Fractal dimension","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":[0.0005092907,0.0002672259,0.0002801169,0.002655359,0.0002286688,0.001221262,0.000218534,0.0004203548,0.0008089183],"category_scores_gemma":[0.001382819,0.0001272779,0.0003059752,0.001616284,0.0004933997,0.0007765179,0.0005525355,0.0002230622,0.0001359257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003341938,"about_ca_system_score_gemma":0.0002420516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004006802,"about_ca_topic_score_gemma":0.004783149,"domain_scores_codex":[0.9998186,0.00002046678,0.00001449962,0.00004276723,0.00005683195,0.00004675132],"domain_scores_gemma":[0.9989667,0.000400715,0.0002968184,0.000084942,0.0001850287,0.00006582709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001417823,0.0001547282,0.5622063,0.0006341647,0.000514449,0.0009499669,0.00262081,0.07648093,0.2024262,0.001809531,0.000762521,0.1500227],"study_design_scores_gemma":[0.000007467377,0.0001231513,0.8761415,0.00002738798,0.0001230203,0.0006846898,0.001474248,0.09086341,0.02716289,0.001512364,0.0017953,0.00008458536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841444,0.0003999721,0.01357925,0.00003050487,0.000007249088,0.00001731582,0.0006368315,0.0002260166,0.0009584739],"genre_scores_gemma":[0.9975682,0.00007909178,0.001897321,0.000004277721,0.000003310273,0.00000751024,0.0002554168,0.00001649543,0.0001683716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004006802,"threshold_uncertainty_score":0.007966936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502382069474391,"score_gpt":0.22685628049038,"score_spread":0.201832459795636,"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."}}