{"id":"W2166946385","doi":"10.3390/rs6021191","title":"Remotely Sensed Monitoring of Small Reservoir Dynamics: A Bayesian Approach","year":2014,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; European Space Agency","keywords":"Remote sensing; Synthetic aperture radar; Environmental science; Computer science; Hydrology (agriculture); Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001275336,0.0004852407,0.000603445,0.001542081,0.0002800254,0.0008362677,0.0008811951,0.0007607859,0.0005976275],"category_scores_gemma":[0.003731169,0.0004513225,0.0004491018,0.0008160849,0.0003657512,0.001309864,0.0005618361,0.0005706,0.0002685307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005806593,"about_ca_system_score_gemma":0.0005449992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00786164,"about_ca_topic_score_gemma":0.01140637,"domain_scores_codex":[0.9993762,0.0002187804,0.00003606028,0.0001457899,0.0001731027,0.00005000743],"domain_scores_gemma":[0.99886,0.0006447568,0.0001483102,0.00006169392,0.0002463745,0.00003888179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001546229,0.000223198,0.01254312,0.000129729,0.0001360046,0.0001531676,0.0001315567,0.6173778,0.011898,0.00613549,0.001451661,0.3496656],"study_design_scores_gemma":[0.000005095773,0.00002220474,0.002372666,0.0000124661,0.00001533872,0.00003795102,0.00001647543,0.9935638,0.0006110973,0.002911287,0.0004173977,0.00001416399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03392792,0.000297081,0.9637895,0.0001433872,0.00001118393,0.00005344029,0.0001250571,0.0002724282,0.001380102],"genre_scores_gemma":[0.662569,0.0006031156,0.3344107,0.0001108778,0.00008175744,0.0001447893,0.000408352,0.00005535262,0.001616062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00786164,"threshold_uncertainty_score":0.01563179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535668363093741,"score_gpt":0.2303047902837279,"score_spread":0.2149481066527904,"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."}}