{"id":"W4229448368","doi":"10.1016/j.rsase.2022.100772","title":"Spatiotemporal monitoring of low water turbidity in Moroccan coastal lagoon using Sentinel-2 data","year":2022,"lang":"en","type":"article","venue":"Remote Sensing Applications Society and Environment","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"European Space Agency","keywords":"Turbidity; Environmental science; Water quality; Hydrology (agriculture); Wetland; Remote sensing; Oceanography; 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":[0.0003689117,0.0002251728,0.0001739696,0.000665649,0.0002907213,0.0003881538,0.000197931,0.0002208406,0.0003116701],"category_scores_gemma":[0.0004474786,0.00008448195,0.0001394328,0.0005735617,0.0001846773,0.0001986799,0.0003702004,0.0001034654,0.00006712374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008972812,"about_ca_system_score_gemma":0.0006161518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09423603,"about_ca_topic_score_gemma":0.1212227,"domain_scores_codex":[0.9998735,0.00002106802,0.00001226158,0.00002840246,0.00001767404,0.00004709775],"domain_scores_gemma":[0.9996809,0.00004523321,0.0001280056,0.00002074754,0.00007787756,0.000047395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002266431,0.00005488935,0.9769309,0.00004338114,0.00008483764,0.0005385554,0.0006293011,0.002242735,0.008214062,0.000132079,0.000687236,0.01021533],"study_design_scores_gemma":[0.000005966336,0.00003211792,0.9947681,0.00000963908,0.00002365049,0.00005517015,0.0006534941,0.003198861,0.0004600348,0.0000160437,0.0007700882,0.000006732827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993611,0.00005469026,0.00004640621,0.00003107821,0.000003480971,0.00000266938,0.000297781,0.000005612002,0.0001972655],"genre_scores_gemma":[0.999421,0.00003462596,0.0001408958,0.000007580447,0.000003439858,0.000004881146,0.0002601632,7.270482e-7,0.0001268227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09423603,"threshold_uncertainty_score":0.187375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852391565064397,"score_gpt":0.2549674848257278,"score_spread":0.2264435691750839,"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."}}