{"id":"W2116157165","doi":"10.1002/met.1523","title":"Field trial of an automated ground‐based infrared cloud classification system","year":2015,"lang":"en","type":"article","venue":"Meteorological Applications","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Campbell Scientific (Canada)","funders":"Met Office; Loughborough University; Technology Strategy Board","keywords":"Cloud computing; Remote sensing; Radar; Computer science; Meteorology; Environmental science; Lightning (connector); Field (mathematics); Detector; Infrared; Lightning detection; Real-time computing; Geology; Telecommunications; Thunderstorm; Geography; Operating system; 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":[0.004665696,0.0007210933,0.0008801591,0.0007922488,0.0007133598,0.0006005933,0.001394075,0.0009248273,0.00164836],"category_scores_gemma":[0.003616596,0.0004492107,0.0003872389,0.0005376483,0.0006631571,0.0008842541,0.0005651914,0.0005784205,0.0006425648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008045679,"about_ca_system_score_gemma":0.0007993878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007398009,"about_ca_topic_score_gemma":0.004279135,"domain_scores_codex":[0.997867,0.000669541,0.0001410255,0.0005086413,0.0006180039,0.0001958033],"domain_scores_gemma":[0.9934266,0.002250547,0.0002987329,0.0006004678,0.003074482,0.0003492283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02860816,0.02267289,0.05658749,0.001074794,0.0005541575,0.0009473162,0.001475279,0.07099038,0.49769,0.0005481948,0.007041743,0.3118097],"study_design_scores_gemma":[0.008206398,0.1253734,0.1444192,0.0001078577,0.0003903093,0.0005965695,0.0009869204,0.3734778,0.3387544,0.0004505171,0.006980789,0.0002558407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808865,0.00005576442,0.01629082,0.00007073378,0.00005062511,0.001016312,0.0003819502,0.0005488053,0.0006984167],"genre_scores_gemma":[0.9738544,0.00002945041,0.02300936,0.00007765219,0.0000272974,0.0004877707,0.0008980185,0.00004520393,0.001570829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007398009,"threshold_uncertainty_score":0.02467489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04387976260496429,"score_gpt":0.2926269365446778,"score_spread":0.2487471739397135,"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."}}