{"id":"W3041556673","doi":"10.1051/epjconf/202023707003","title":"BeCOOL: A Balloon-Borne Microlidar System Designed for Cirrus and Convective Overshoot Monitoring","year":2020,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre National d’Etudes Spatiales; Canadian Space Agency; Agence Nationale de la Recherche","keywords":"Cirrus; Overshoot (microwave communication); Stratosphere; Balloon; Remote sensing; Meteorology; Weighting; Environmental science; Convection; Volume (thermodynamics); Aerospace engineering; Atmospheric sciences; Physics; Computer science; Engineering; Geology; Telecommunications; Acoustics; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001466847,0.0001394,0.0003075959,0.00001061702,0.00009790038,0.00005565823,0.0001568754,0.00006336762,0.000329024],"category_scores_gemma":[0.00004535043,0.0001160498,0.00005327967,0.0001093765,0.0001001244,0.0001096923,0.00001173349,0.0000630347,0.00001732797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002821592,"about_ca_system_score_gemma":0.0002642818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008304381,"about_ca_topic_score_gemma":0.0001320673,"domain_scores_codex":[0.9990991,0.0000444469,0.0002318823,0.0002529453,0.0001463009,0.000225307],"domain_scores_gemma":[0.9993202,0.0002464697,0.0001371098,0.00007499288,0.00007813597,0.0001430938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004735678,0.00001784251,0.9650906,0.0004672632,0.0001771579,0.0000135281,0.001718548,0.0001054134,0.003715123,0.002186914,0.0002979675,0.02573603],"study_design_scores_gemma":[0.0041526,0.003363704,0.8418781,0.0004466616,0.0003565779,0.00002617002,0.03764248,0.05556859,0.03879898,0.0005707102,0.0160353,0.001160198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850751,0.001456089,0.0006910468,0.0003963206,0.0003103474,0.0003374041,0.00012394,0.0000629861,0.01154684],"genre_scores_gemma":[0.9983882,0.00009551898,0.001257174,0.00006189573,0.000135115,0.000003934093,0.00001114723,0.000003648299,0.00004330852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1232126,"threshold_uncertainty_score":0.4732375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285861021841616,"score_gpt":0.2252854364547877,"score_spread":0.1966993342706261,"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."}}