{"id":"W7135649406","doi":"","title":"Skin surface water temperatures determination in selected lakes and reservoirs from satellite data","year":2018,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Science and Climate Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Satellite; Radiance; Advanced Spaceborne Thermal Emission and Reflection Radiometer; Surface water; Surface (topology); Brightness temperature; Thermal; Water cycle","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005308178,0.0008067015,0.0007803343,0.0003053123,0.0007673565,0.001999812,0.001315538,0.0006372135,0.00003482224],"category_scores_gemma":[0.000521523,0.0006709376,0.0001489029,0.0008928566,0.0009317314,0.004378085,0.0006481123,0.0006289301,0.00004060393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000368672,"about_ca_system_score_gemma":0.0002081562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003049058,"about_ca_topic_score_gemma":0.0005164462,"domain_scores_codex":[0.9932243,0.0002550148,0.001532815,0.002049323,0.002270946,0.0006676374],"domain_scores_gemma":[0.9966378,0.0004411491,0.0007182412,0.0009890163,0.0009916108,0.000222217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00121072,0.0008868866,0.3856623,0.000654608,0.0003422415,0.000463353,0.0307168,0.00009857023,0.5755044,0.00005974067,0.002053968,0.00234632],"study_design_scores_gemma":[0.0009676832,0.0004120513,0.7649491,0.002383376,0.0001506015,0.0001877558,0.002897417,0.002080123,0.218018,0.0007246573,0.005728708,0.001500494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729632,0.003841191,0.000001843492,0.00006436252,0.001431123,0.0005685402,0.0008633797,0.00004610429,0.02022028],"genre_scores_gemma":[0.9801449,0.0004153417,0.0003544153,0.00003789801,0.0004814378,0.00002091164,0.00798637,0.00005982539,0.01049888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3792868,"threshold_uncertainty_score":0.9995742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122859397239664,"score_gpt":0.2569422994958863,"score_spread":0.2446563597719199,"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."}}