{"id":"W4406868404","doi":"10.3390/rs17030430","title":"Spatiotemporal Patterns of Chlorophyll-a Concentration in a Hypersaline Lake Using High Temporal Resolution Remotely Sensed Imagery","year":2025,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum; University of Toronto","funders":"","keywords":"Remote sensing; High resolution; Geology; Satellite imagery; Chlorophyll a; Oceanography; Environmental science","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":[0.0003863186,0.0001437206,0.0002715114,0.0001024744,0.00008614807,0.00002980429,0.00006730745,0.00009221804,0.00001471641],"category_scores_gemma":[0.00006995284,0.0001490402,0.00007919193,0.0004593165,0.00008543616,0.0001443016,0.00006978974,0.0001394836,0.000005800555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000233197,"about_ca_system_score_gemma":0.00002570952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02528289,"about_ca_topic_score_gemma":0.0007368951,"domain_scores_codex":[0.9984782,0.000201964,0.0004817926,0.0003175368,0.0002702217,0.000250287],"domain_scores_gemma":[0.9994539,0.00004473575,0.0001792289,0.0002563327,0.00002405275,0.00004177597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001094346,0.0000580288,0.05808119,0.00008798981,0.0000336622,0.0000781364,0.0007949808,0.0291504,0.8733214,0.000008238211,0.00002907556,0.03824746],"study_design_scores_gemma":[0.000742304,0.00003039101,0.05705984,0.000501405,0.00006395581,0.000009052864,0.000249233,0.7683961,0.1721869,0.0003374074,0.0001423063,0.0002811643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723782,0.00001348641,0.02686383,0.0002780593,0.0001883203,0.0001062568,0.00000657473,0.00003273382,0.0001325224],"genre_scores_gemma":[0.9822637,0.000006318204,0.01742539,0.00004141643,0.00007316215,7.286969e-9,0.00003317117,0.00001099208,0.0001458792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7392457,"threshold_uncertainty_score":0.9812078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912464103041083,"score_gpt":0.2596823333409332,"score_spread":0.2405576923105224,"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."}}