{"id":"W2464763130","doi":"10.5194/amt-2016-162","title":"Identification of the cloud base height over the centralHimalayan region: Intercomparison of Ceilometer and DopplerLidar","year":2016,"lang":"en","type":"article","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Indian Space Research Organisation; Indian Institute of Science; U.S. Department of Energy","keywords":"Ceilometer; Cloud base; Environmental science; Lidar; Doppler effect; Atmospheric sciences; Correlation coefficient; Sky; Altitude (triangle); Meteorology; Remote sensing; Cloud computing; Geology; Physics","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":[0.0003429382,0.000344078,0.0002334773,0.0007342436,0.0004121902,0.0005759309,0.0004426451,0.0002447678,0.0004218611],"category_scores_gemma":[0.0004886043,0.0001227421,0.0001871307,0.0008231602,0.0001360286,0.0002528736,0.0003401537,0.0001925208,0.000115689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005683535,"about_ca_system_score_gemma":0.0003424269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06493152,"about_ca_topic_score_gemma":0.09085757,"domain_scores_codex":[0.9998605,0.00002747875,0.000006948214,0.00003504287,0.00002703187,0.00004297882],"domain_scores_gemma":[0.9997094,0.00005040939,0.00005238539,0.00004207393,0.0001029454,0.00004268238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001543482,0.00006803932,0.9709613,0.00004300875,0.0000868336,0.0002706359,0.000700711,0.001299401,0.0107891,0.00007483012,0.0003399894,0.01521178],"study_design_scores_gemma":[0.000009568682,0.00003303483,0.9910382,0.000009133305,0.00003221046,0.00006312832,0.0004811787,0.005379955,0.002204998,0.00001404112,0.0007265058,0.000008086268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989799,0.00008887795,0.0001855157,0.00002210708,0.000005317472,0.000004140201,0.0002763656,0.00002306736,0.0004147695],"genre_scores_gemma":[0.9990805,0.00003568962,0.0004284088,0.00001010241,0.000004193864,0.000004767005,0.0003411293,0.000003375442,0.00009187332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06493152,"threshold_uncertainty_score":0.1291071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008333717691083412,"score_gpt":0.2022226790934187,"score_spread":0.1938889614023353,"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."}}