{"id":"W4285033297","doi":"10.4018/978-1-6684-4548-8.ch007","title":"Reservoir Time-Series Filling From Remote Sensing Data in the Central Valley, Chile","year":2022,"lang":"en","type":"book-chapter","venue":"Practice, progress, and proficiency in sustainability","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Water resources; Hydrology (agriculture); Environmental science; Population; Irrigation; Agriculture; Time series; Geography; Water resource management; Geology; Ecology; Statistics; Mathematics","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":[0.0002761403,0.000107172,0.00009003983,0.0005385992,0.00009931804,0.0004465564,0.0002709344,0.0001554753,0.001116359],"category_scores_gemma":[0.0009306281,0.00008670784,0.0001366226,0.001325827,0.0001034409,0.0004475332,0.000204011,0.0001445033,0.0002392111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004697362,"about_ca_system_score_gemma":0.0003545829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04081797,"about_ca_topic_score_gemma":0.06161304,"domain_scores_codex":[0.9999512,0.000009776973,0.000004306496,0.00001119586,0.00001684547,0.000006671164],"domain_scores_gemma":[0.9997435,0.0001256991,0.00003718138,0.00002028372,0.00005823015,0.00001504492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003186157,0.0002518087,0.3102791,0.0009497696,0.0001883585,0.002373015,0.001724802,0.1894944,0.00891177,0.005120045,0.06529432,0.4150941],"study_design_scores_gemma":[0.00002819152,0.00007024894,0.5637077,0.0001697186,0.00004124802,0.0003236858,0.00240668,0.3897676,0.003038716,0.002179526,0.03819278,0.00007382267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660951,0.0015782,0.004759885,0.0008086276,0.00005107672,0.00003676898,0.01296185,0.0004255949,0.01328283],"genre_scores_gemma":[0.9725723,0.00120947,0.006485048,0.00005625574,0.0000232008,0.00003384736,0.01186459,0.00007634403,0.007678872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04081797,"threshold_uncertainty_score":0.08116078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873250931464161,"score_gpt":0.2884262141304486,"score_spread":0.269693704815807,"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."}}