{"id":"W2897837642","doi":"10.1117/12.2324321","title":"The EarthCARE cloud profiling radar (CPR) doppler measurements in deep convection: challenges, post-processing, and science applications","year":2018,"lang":"en","type":"article","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Doppler effect; Remote sensing; Doppler radar; Convection; Radar; Satellite; Meteorology; Environmental science; Physics; Geology; Aerospace engineering; Astronomy","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":[0.001399125,0.0004081388,0.0003041919,0.0001728387,0.0002595809,0.0007821606,0.0005984628,0.0007154032,0.0005135682],"category_scores_gemma":[0.002121025,0.0001606461,0.0002715657,0.0005507893,0.0003461838,0.00103028,0.0004695477,0.0009489747,0.0002403248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000442233,"about_ca_system_score_gemma":0.0007523628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004126507,"about_ca_topic_score_gemma":0.005453893,"domain_scores_codex":[0.9997361,0.00006440035,0.00001176479,0.00004308504,0.0001140883,0.00003056804],"domain_scores_gemma":[0.9991975,0.0003602308,0.0000807679,0.000110472,0.0001952175,0.00005575997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007784349,0.0002695135,0.06441435,0.0006386639,0.0001499134,0.0003014524,0.0004561386,0.3631428,0.2175814,0.01132059,0.008059357,0.3328874],"study_design_scores_gemma":[0.00007138713,0.0001826702,0.01201186,0.0000542551,0.00004104363,0.0001065693,0.0001040031,0.9351914,0.04003083,0.00332365,0.008844643,0.00003768136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6009839,0.004647771,0.378541,0.003281182,0.0006233632,0.0001951865,0.001762818,0.00230291,0.007661958],"genre_scores_gemma":[0.8239678,0.0009622634,0.1727221,0.0002980875,0.0000980336,0.00005833206,0.001110247,0.0001349238,0.000648178],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004126507,"threshold_uncertainty_score":0.008204997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244937988301381,"score_gpt":0.254138832527123,"score_spread":0.2296450336969849,"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."}}