{"id":"W2950357077","doi":"10.3390/rs11121448","title":"VIIRS-Derived Water Turbidity in the Great Lakes","year":2019,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration","keywords":"Turbidity; Bay; Environmental science; Water quality; Visible Infrared Imaging Radiometer Suite; Hydrology (agriculture); Satellite; Oceanography; Geology; Ecology","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":[0.0002841016,0.0002855797,0.000176078,0.000427509,0.0002480479,0.0004970803,0.0001734054,0.0001777765,0.0003024963],"category_scores_gemma":[0.000557195,0.0001651512,0.0002668168,0.0009419399,0.0001790309,0.0002945648,0.0004971864,0.0001040169,0.0001132499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009267812,"about_ca_system_score_gemma":0.0007292131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1796854,"about_ca_topic_score_gemma":0.3049599,"domain_scores_codex":[0.999846,0.00001986409,0.00001098109,0.00004226183,0.00006104875,0.00001991612],"domain_scores_gemma":[0.9998527,0.00001708368,0.00003590873,0.0000117094,0.00006850469,0.0000140952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002286956,0.00006129965,0.8932617,0.0001032374,0.0002353179,0.0005959107,0.0008688706,0.02637408,0.03147753,0.0003601932,0.003222961,0.04321008],"study_design_scores_gemma":[0.00002003963,0.00001926369,0.9702551,0.000006595486,0.00003063472,0.00004251677,0.0002773446,0.02609945,0.00190277,0.00005932718,0.00127135,0.00001554979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981354,0.00005096284,0.0003279746,0.00003295527,0.000002187298,0.000006436329,0.0005435902,0.00004238933,0.0008580622],"genre_scores_gemma":[0.9960338,0.00007236438,0.00137193,0.00001706776,0.000003494471,0.00001441363,0.001837987,0.00001021783,0.0006386535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8203146,"threshold_uncertainty_score":0.357279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383883625392404,"score_gpt":0.1932625276147453,"score_spread":0.1794236913608213,"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."}}