{"id":"W3007966155","doi":"10.3390/rs12040668","title":"Construction of Nighttime Cloud Layer Height and Classification of Cloud Types","year":2020,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; State Key Laboratory of Modern Optical Instrumentation; Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Environment and Climate Change Canada; National Natural Science Foundation of China","keywords":"Lidar; Remote sensing; Cloud top; Nadir; Radiance; Environmental science; Cloud computing; Satellite; Cloud height; Meteorology; Moderate-resolution imaging spectroradiometer; Spectroradiometer; Cloud base; Cloud fraction; Cloud cover; Pixel; Geology; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004027167,0.0004173681,0.0003968808,0.0009356996,0.000282918,0.000635043,0.0007085216,0.0002906168,0.0006833897],"category_scores_gemma":[0.0005749725,0.0001561809,0.0003867928,0.0006773146,0.0001131409,0.0004621137,0.0003157941,0.0002080241,0.0002641311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004458829,"about_ca_system_score_gemma":0.0009223432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009871136,"about_ca_topic_score_gemma":0.01106545,"domain_scores_codex":[0.9997814,0.00002858726,0.00001248388,0.00005561077,0.00008393172,0.00003796638],"domain_scores_gemma":[0.9996246,0.00004114934,0.00005677585,0.0000679185,0.000174592,0.00003495305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004080706,0.0003904574,0.1163557,0.0001293644,0.0001403592,0.0001738916,0.000125633,0.1192753,0.08535078,0.001210507,0.001943986,0.6744959],"study_design_scores_gemma":[0.00002800389,0.0001225264,0.07114945,0.000008981731,0.00003269943,0.0001048047,0.00006517841,0.8996578,0.02734626,0.0003363127,0.001122144,0.00002577508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5338276,0.0002150534,0.4610047,0.00004955385,0.00005029712,0.0001578558,0.0009298506,0.00184895,0.001916157],"genre_scores_gemma":[0.741941,0.0001008815,0.2543228,0.00001980664,0.00001345323,0.00005197504,0.002397189,0.0001253713,0.001027539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009871136,"threshold_uncertainty_score":0.01962733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780797660460804,"score_gpt":0.2199328839863753,"score_spread":0.2021249073817672,"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."}}