{"id":"W4365137150","doi":"10.5194/amt-16-1901-2023","title":"Processing reflectivity and Doppler velocity from EarthCARE's cloud-profiling radar: the C-FMR, C-CD and C-APC products","year":2023,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Centre for Earth Observation; European Space Agency","keywords":"Doppler effect; Remote sensing; Radar; Attenuation; Environmental science; Geology; Computer science; Optics; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006455389,0.000780585,0.0003619945,0.001804593,0.0003364217,0.0008690474,0.0005792707,0.0006548058,0.003795455],"category_scores_gemma":[0.001772324,0.0002443628,0.0004060293,0.001484276,0.0001693416,0.0006576345,0.0005930716,0.0005208503,0.002745996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005742126,"about_ca_system_score_gemma":0.001001008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00729785,"about_ca_topic_score_gemma":0.008340821,"domain_scores_codex":[0.9995839,0.00002549093,0.00002510279,0.00007956003,0.0002364734,0.00004938219],"domain_scores_gemma":[0.9992158,0.00008143562,0.0000743242,0.0001437461,0.000452817,0.00003186432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005439041,0.0002900295,0.02851328,0.0002014041,0.00009490728,0.000161581,0.0001037688,0.02917042,0.1408046,0.002983858,0.03455963,0.7625725],"study_design_scores_gemma":[0.0001978134,0.0002267215,0.06647536,0.0000520527,0.000064184,0.0002828352,0.0001069453,0.7609751,0.133398,0.003073012,0.03505222,0.0000957875],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2720015,0.000641131,0.6685402,0.0005061711,0.0003181318,0.0005089607,0.0143418,0.02732479,0.01581738],"genre_scores_gemma":[0.351638,0.0002464674,0.6164799,0.00026892,0.00009723835,0.0002175999,0.02551764,0.001063966,0.004470224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00729785,"threshold_uncertainty_score":0.01451075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960246705882977,"score_gpt":0.2431435289799251,"score_spread":0.2135410619210954,"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."}}