{"id":"W2062154646","doi":"10.1002/2014wr016045","title":"Soil water storage, rainfall and runoff relationships in a tropical dry forest catchment","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Antecedent moisture; Surface runoff; Streamflow; Environmental science; Hydrology (agriculture); Water storage; Water content; Dry season; Drainage basin; Antecedent (behavioral psychology); Soil water; Wet season; Runoff curve number; Soil science; Geography; Geology; Ecology","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":[0.0001754529,0.0001124697,0.000167159,0.0004712545,0.0003601709,0.0004647419,0.0001455602,0.0001228539,0.000671996],"category_scores_gemma":[0.0006302386,0.0001284961,0.0001107448,0.00070407,0.000343661,0.0001968846,0.0003332276,0.0001556205,0.00003545119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008207959,"about_ca_system_score_gemma":0.0003763522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06067004,"about_ca_topic_score_gemma":0.05959774,"domain_scores_codex":[0.9999206,0.00001391801,0.000005128938,0.00001893451,0.000009882101,0.0000315387],"domain_scores_gemma":[0.9997713,0.00007066609,0.00007675723,0.000009761687,0.00002044521,0.0000510599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001484866,0.00008286285,0.9925277,0.00001110212,0.00002927254,0.0002634313,0.000371652,0.001019057,0.003655371,0.00006907502,0.00005083325,0.001771117],"study_design_scores_gemma":[0.000007873868,0.00002883285,0.9982941,0.000001075315,0.000007888344,0.00004985653,0.0002738848,0.001111642,0.0001319393,0.00002292813,0.00006835232,0.000001844288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998888,0.00000599646,0.00001873659,0.000003514164,8.953514e-8,0.000001826093,0.00003435786,0.000001183297,0.0000455239],"genre_scores_gemma":[0.9998528,0.00001102907,0.00004140601,0.000002160143,5.923941e-7,0.000003035458,0.00005841563,5.40436e-7,0.00002999832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06067004,"threshold_uncertainty_score":0.1206338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03355500161865443,"score_gpt":0.2751754977505195,"score_spread":0.241620496131865,"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."}}