{"id":"W2907173572","doi":"10.1007/s10661-018-7180-7","title":"Hindcasting eutrophication and changes in temperature and storage volume in a semi-arid reservoir: a multi-decadal Landsat-based assessment","year":2018,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Hindcast; Eutrophication; Water quality; Hydrology (agriculture); Secchi disk; Chlorophyll a; Surface water; Climatology; Ecology; Geology; Nutrient","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":[0.0008162421,0.00039215,0.0003282299,0.0006244146,0.0003106371,0.0007307735,0.0004694189,0.0007932584,0.0005216957],"category_scores_gemma":[0.0008745264,0.0002852168,0.00063824,0.0007571955,0.0003129432,0.0008899078,0.0006442831,0.0003498189,0.0001190252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007194051,"about_ca_system_score_gemma":0.0007191326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03165296,"about_ca_topic_score_gemma":0.05808813,"domain_scores_codex":[0.9998755,0.00002306357,0.00001747703,0.0000263392,0.00003087666,0.00002662506],"domain_scores_gemma":[0.9995395,0.00009099329,0.00009609303,0.00005671323,0.0001296311,0.00008712368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009942898,0.0004639452,0.7534378,0.00009085168,0.0005528222,0.0004303136,0.0003564369,0.2026391,0.0175469,0.0005393274,0.0008564871,0.0220918],"study_design_scores_gemma":[0.00004062869,0.0001780437,0.6094439,0.00001533244,0.0001664572,0.00008225133,0.0003397367,0.385631,0.003162525,0.0002487907,0.0006445465,0.00004678868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986817,0.00003523207,0.0004663934,0.00005216581,0.000005651957,0.000004767652,0.0004418108,0.00002624333,0.0002859586],"genre_scores_gemma":[0.9989182,0.00002883388,0.0004619009,0.000006663255,0.000003105319,0.000003976448,0.0003774851,0.000004890606,0.0001949463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03165296,"threshold_uncertainty_score":0.06293744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206164818593208,"score_gpt":0.2642971799131021,"score_spread":0.25223553172717,"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."}}