{"id":"W2981974467","doi":"10.3390/app9214487","title":"Gridded Visibility Products over Marine Environments Based on Artificial Neural Network Analysis","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Aeronautics and Space Administration","keywords":"Visibility; Artificial neural network; Computer science; Satellite; Remote sensing; Meteorology; Artificial intelligence; Environmental science; Geography; Engineering","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":[0.0003416632,0.0003431853,0.0002098563,0.0009886798,0.0001314131,0.0005216798,0.0002836107,0.0002103567,0.0008535177],"category_scores_gemma":[0.001700287,0.0001365916,0.0003055018,0.0008005613,0.0001097581,0.0005812869,0.0002670506,0.000230061,0.0001317022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000409837,"about_ca_system_score_gemma":0.0002593886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01391359,"about_ca_topic_score_gemma":0.01636445,"domain_scores_codex":[0.9998784,0.00002531721,0.00001322027,0.00003899091,0.00003271259,0.00001135811],"domain_scores_gemma":[0.9995381,0.0001527148,0.00007946698,0.00005780491,0.0001569771,0.00001506248],"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":[0.0003268694,0.0001177049,0.05521178,0.00007570391,0.000153749,0.000139381,0.00007986515,0.7743839,0.00819053,0.0008097749,0.001069295,0.1594414],"study_design_scores_gemma":[0.000005933308,0.00001554989,0.0183739,0.000003963196,0.000009351074,0.00001090122,0.00001970328,0.9796392,0.001470858,0.000286002,0.0001560921,0.000008590477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8595431,0.0002112856,0.1346692,0.0000693171,0.00005061896,0.0000376367,0.001447628,0.001325457,0.002645913],"genre_scores_gemma":[0.9650128,0.00005104451,0.03357285,0.000006039893,0.000004758114,0.00001149123,0.0008631631,0.00003477609,0.0004432685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01391359,"threshold_uncertainty_score":0.02766526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00941428873002787,"score_gpt":0.2166282904508715,"score_spread":0.2072140017208437,"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."}}