{"id":"W2066291849","doi":"10.1016/j.proenv.2013.06.044","title":"Three-and-a-half Decades of Progress in Monitoring Soils and Soil Hydraulic Properties","year":2013,"lang":"en","type":"article","venue":"Procedia Environmental Sciences","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Davis; Oregon State University; U.S. Department of Agriculture; National Aeronautics and Space Administration","keywords":"Current (fluid); Soil water; Environmental science; Work (physics); Remote sensing; Civil engineering; Hydrology (agriculture); Engineering; Soil science; Geology; Geotechnical engineering; Electrical engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01156431,0.001298561,0.00129525,0.003619538,0.0009084611,0.003266434,0.001858953,0.002575939,0.005102954],"category_scores_gemma":[0.008705074,0.0006932536,0.001349523,0.004187607,0.002584868,0.004410538,0.004471425,0.003290941,0.001671202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329636,"about_ca_system_score_gemma":0.002458725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002934094,"about_ca_topic_score_gemma":0.004546006,"domain_scores_codex":[0.9969645,0.0006304149,0.0002301664,0.00111222,0.0008463253,0.0002163701],"domain_scores_gemma":[0.984975,0.005616726,0.001322178,0.002162253,0.004940721,0.0009830702],"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":[0.0004696209,0.000456116,0.01357813,0.003419818,0.0002348475,0.0001502151,0.0008243542,0.003654633,0.02706591,0.01890078,0.008491747,0.9227538],"study_design_scores_gemma":[0.00008761933,0.00239183,0.04641384,0.004987331,0.0003793701,0.002019525,0.003313015,0.006204753,0.05234977,0.02773825,0.8536726,0.0004420929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.114898,0.610479,0.1784398,0.03610795,0.006668883,0.0003554403,0.00174427,0.0008815923,0.05042525],"genre_scores_gemma":[0.199227,0.4970851,0.2491461,0.01028707,0.006582522,0.0004552745,0.002567035,0.0004067131,0.03424334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01156431,"threshold_uncertainty_score":0.06115866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418645107442503,"score_gpt":0.2119660332837889,"score_spread":0.1977795822093638,"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."}}