{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004110855,0.0001239434,0.0001361525,0.00001941114,0.0003420282,0.00001533461,0.0001868622,0.00003225072,0.00009782227],"category_scores_gemma":[9.57176e-7,0.0001222095,0.00004380605,0.0001172928,0.000135771,0.0001129025,0.001522659,0.0001609992,0.00000826045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253525,"about_ca_system_score_gemma":0.00000574257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00177359,"about_ca_topic_score_gemma":0.00003084833,"domain_scores_codex":[0.9987436,0.00005107241,0.0002399843,0.0004146037,0.0003242519,0.0002265016],"domain_scores_gemma":[0.9993436,0.00001443413,0.00008953551,0.0005038614,0.000001526895,0.00004699097],"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":[0.00003693099,0.0007068182,0.1142441,0.0001862574,0.0001277332,0.00001167351,0.003891466,0.3646646,0.3218493,0.00002807387,0.001046759,0.1932063],"study_design_scores_gemma":[0.0007556453,0.00003247934,0.04287912,0.00002017258,0.00007451449,0.00001176793,0.003012586,0.9189833,0.009080646,0.000428734,0.02429779,0.0004232539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726942,0.00003727153,0.02628908,0.0003664206,0.00003649918,0.0003678987,0.00002087721,0.00001803179,0.0001697065],"genre_scores_gemma":[0.9580641,0.0001905485,0.04143042,0.00003507217,0.00003452651,0.000001971852,0.0001168815,0.0000150213,0.0001114411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5543187,"threshold_uncertainty_score":0.4983557,"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."}}