{"id":"W2555752492","doi":"10.1002/2016jd025090","title":"The performance of the EarthCARE Cloud Profiling Radar in marine stratiform clouds","year":2016,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Remote sensing; Environmental science; Radar; Doppler effect; Drizzle; Clutter; Doppler radar; Cloud computing; Meteorology; Geology; Computer science; Geography; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.001494037,0.0001308783,0.0002301101,9.780017e-7,0.0002930283,0.00003729751,0.0009877011,0.00006386592,0.0004343094],"category_scores_gemma":[0.0003964974,0.00005175915,0.0001614186,0.0005479465,0.0009567434,0.0002397765,0.000596691,0.0006203398,0.00004274767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864255,"about_ca_system_score_gemma":0.0001443382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002496665,"about_ca_topic_score_gemma":0.0002531897,"domain_scores_codex":[0.9967521,0.0002597679,0.0005289492,0.0001644586,0.001756119,0.0005385354],"domain_scores_gemma":[0.9984968,0.0006095739,0.0002611363,0.0003817955,0.0001165179,0.0001341371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000596293,0.0002230239,0.7772063,0.00002413527,0.00003532354,0.00001687612,0.0002062515,0.0002328919,0.05853628,0.001666166,0.001218382,0.1600381],"study_design_scores_gemma":[0.0008194429,0.001094891,0.9466549,0.000181304,0.000007570407,0.00001411296,0.0007277661,0.0006776603,0.04088612,0.004388423,0.004406949,0.0001408418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954807,0.00007517311,0.00001669542,0.001329381,0.0001554431,0.0001966088,0.000001519984,0.000003189602,0.00274125],"genre_scores_gemma":[0.9966462,0.000240188,0.0007725079,0.00001945678,0.0002308309,0.000005712237,6.542199e-8,0.00001364081,0.002071399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1694486,"threshold_uncertainty_score":0.4755383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765234355434686,"score_gpt":0.2788362661191046,"score_spread":0.2611839225647578,"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."}}