{"id":"W2046826830","doi":"10.5194/amt-7-1089-2014","title":"Evaluation of gridded scanning ARM cloud radar reflectivity observations and vertical doppler velocity retrievals","year":2014,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Biological and Environmental Research; McGill University; U.S. Department of Energy","keywords":"Zenith; Radar; Remote sensing; Doppler radar; Doppler effect; Geology; Meteorology; Environmental science; Physics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001171043,0.000437036,0.0004110221,0.0006741831,0.0001763292,0.0006897558,0.0005725646,0.0004022152,0.0007186733],"category_scores_gemma":[0.00331959,0.0001845843,0.0003584573,0.0008190836,0.0002321612,0.0005335535,0.0004540239,0.0001722714,0.0002262382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003956291,"about_ca_system_score_gemma":0.0004073748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01288341,"about_ca_topic_score_gemma":0.01099107,"domain_scores_codex":[0.9995916,0.0001134798,0.00003797446,0.0001139807,0.0001029196,0.00003988207],"domain_scores_gemma":[0.9988722,0.0004332057,0.0001217462,0.0002600938,0.0002597262,0.00005308132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002344741,0.0005438734,0.1815903,0.0002896187,0.0005081191,0.0004361903,0.0001499395,0.5850822,0.037594,0.0004662571,0.001516273,0.1894784],"study_design_scores_gemma":[0.0001267344,0.0002204458,0.09478298,0.00002105534,0.00007025191,0.00008189356,0.0001047091,0.8926018,0.01113453,0.0001754439,0.0006579488,0.00002226207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807228,0.0001698546,0.01632664,0.0000562213,0.00003525094,0.00004970383,0.0009133027,0.0008294043,0.0008967434],"genre_scores_gemma":[0.9828064,0.00004498611,0.01579152,0.00001396806,0.000007471104,0.00001446736,0.001167969,0.00002839409,0.0001247439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01288341,"threshold_uncertainty_score":0.02561682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06443179236074212,"score_gpt":0.2771559377750848,"score_spread":0.2127241454143427,"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."}}