{"id":"W2149304217","doi":"10.5194/amt-9-2241-2016","title":"A microwave satellite water vapour column retrieval for polar winter conditions","year":2016,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Climate variability and models","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Goddard Space Flight Center; National Oceanic and Atmospheric Administration; European Organization for the Exploitation of Meteorological Satellites; Ohio State University","keywords":"Advanced Microwave Sounding Unit; Environmental science; Satellite; Remote sensing; Water vapor; Depth sounding; Radiometer; Microwave radiometer; Microwave; Special sensor microwave/imager; Nadir; Meteorology; Geology; Computer science; Physics; Brightness temperature; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001180311,0.0002137845,0.000213604,0.000003982863,0.0001704513,0.00003958381,0.0002587567,0.0001276372,0.002507758],"category_scores_gemma":[0.00009566029,0.0001349662,0.000148677,0.00009552633,0.0001959424,0.0002495026,0.0001366942,0.00007054016,0.0002959524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005917187,"about_ca_system_score_gemma":0.00001720352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001124934,"about_ca_topic_score_gemma":0.0001462238,"domain_scores_codex":[0.9981572,0.0000780296,0.0003579058,0.000466762,0.0004534425,0.0004866322],"domain_scores_gemma":[0.9992467,0.00005560854,0.00007316225,0.0004325833,0.00007357002,0.0001184121],"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":[0.00008064021,0.000130546,0.003466188,0.00001656107,0.00002730043,0.00000159982,0.0001226409,0.000001421989,0.9769334,0.00009593878,0.01243451,0.006689308],"study_design_scores_gemma":[0.0004941085,0.0003002415,0.001685274,0.00008921964,0.00005372306,0.00000803488,0.00001933742,0.00005658476,0.7257977,0.01171455,0.2594054,0.0003757629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5761186,0.0001656631,0.3903839,0.005520346,0.0004352618,0.00480927,0.0001802484,0.001372463,0.02101419],"genre_scores_gemma":[0.9577312,0.00008543096,0.03986198,0.0006761631,0.00005950532,0.0002202028,0.00001499758,0.00003762162,0.001312883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3816125,"threshold_uncertainty_score":0.9984041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02916970151320822,"score_gpt":0.2438428951132431,"score_spread":0.2146731936000349,"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."}}