{"id":"W2052907857","doi":"10.5194/amt-6-1171-2013","title":"Biases caused by the instrument bandwidth and beam width on simulated brightness temperature measurements from scanning microwave radiometers","year":2013,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Radiometer; Bandwidth (computing); Optics; Microwave radiometer; Water vapor; Remote sensing; Radiative transfer; Brightness temperature; W band; Microwave; Physics; Brightness; Environmental science; Telecommunications; Geology; Meteorology; Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001110737,0.0004599702,0.0004175541,0.00003413128,0.0005296561,0.0004420619,0.0004396901,0.0001479495,0.001102966],"category_scores_gemma":[0.0001751332,0.0003025331,0.0001239288,0.0006130578,0.0001574879,0.000447939,0.00002428917,0.0002759485,0.00005675976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007871397,"about_ca_system_score_gemma":0.00006121472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006603419,"about_ca_topic_score_gemma":0.0005613648,"domain_scores_codex":[0.9963946,0.0003216025,0.0005313412,0.000643635,0.001607784,0.0005010053],"domain_scores_gemma":[0.9985449,0.0001684295,0.0002661709,0.0004618532,0.0003318045,0.0002267974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001065381,0.0001822035,0.3805347,0.00003505454,0.0009727447,0.000005787287,0.0006355743,0.001016249,0.3300915,0.000002967276,0.03632149,0.2500951],"study_design_scores_gemma":[0.002328685,0.0009401084,0.3824768,0.0009339147,0.0005874111,0.000005243427,0.0007495226,0.006377282,0.5967581,0.001065893,0.005916005,0.001861018],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935861,0.002406638,0.000523496,0.000804617,0.0001917546,0.001107678,0.00003719901,0.0003042867,0.001038252],"genre_scores_gemma":[0.9954374,0.0001676124,0.002797072,0.001174752,0.00008833497,0.00003305375,0.0001777508,0.00001898897,0.0001050349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2666666,"threshold_uncertainty_score":0.9999427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03789506262364197,"score_gpt":0.2203834263246245,"score_spread":0.1824883637009825,"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."}}