{"id":"W3014629682","doi":"10.1016/j.scitotenv.2020.138319","title":"Comparison of spectral and spatial-based approaches for mapping the local variation of soil moisture in a semi-arid mountainous area","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Kriging; Environmental science; Digital elevation model; Multivariate interpolation; Spatial variability; Remote sensing; Arid; Advanced Spaceborne Thermal Emission and Reflection Radiometer; Bootstrapping (finance); Inverse distance weighting; Linear regression; Mathematics; Statistics; Geography; Geology","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":[0.001577632,0.0003454743,0.0002277815,0.003036253,0.0002629657,0.0007493354,0.0004516814,0.0004007125,0.0007763499],"category_scores_gemma":[0.002864079,0.0001588577,0.000410058,0.001476645,0.0001935991,0.0006411927,0.0004146848,0.0001461996,0.0001329017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003159401,"about_ca_system_score_gemma":0.0002890305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01125013,"about_ca_topic_score_gemma":0.02398985,"domain_scores_codex":[0.9996513,0.0001298131,0.00002937582,0.00006138466,0.0001003275,0.00002770047],"domain_scores_gemma":[0.998255,0.0009992362,0.0001154734,0.00007581701,0.0004986354,0.0000559478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002638555,0.0008895783,0.3400632,0.0009106844,0.00100451,0.0002376707,0.001194294,0.1065635,0.0406512,0.00158175,0.001029879,0.5032351],"study_design_scores_gemma":[0.00011305,0.0003678227,0.4672748,0.00007945157,0.0004644782,0.0003547496,0.002023733,0.5211536,0.005588739,0.001109424,0.001389466,0.0000807243],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745953,0.0004441886,0.02180649,0.00005921871,0.00001907176,0.00003243699,0.0004355954,0.0001402394,0.00246746],"genre_scores_gemma":[0.9702219,0.0002772569,0.02860039,0.0000241699,0.00001477497,0.00002622442,0.0004364128,0.0000169463,0.0003820697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01125013,"threshold_uncertainty_score":0.02236933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152687225808241,"score_gpt":0.2149462291240716,"score_spread":0.1834193568659892,"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."}}