{"id":"W4226175460","doi":"10.5194/amt-15-775-2022","title":"Coincident in situ and triple-frequency radar airborne observations in the Arctic","year":2022,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Environment and Climate Change Canada; Natural Environment Research Council; Sight Research UK; Université du Québec à Montréal","keywords":"Radar; Snow; Remote sensing; Environmental science; Meteorology; Snowflake; Range (aeronautics); Ice crystals; Particle (ecology); Arctic; Storm; Winter storm; Atmospheric sciences; Geology; Materials science; Geography; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004430708,0.0004581528,0.0005114217,0.001200621,0.0004284978,0.000579762,0.0003036561,0.0003931809,0.0004160868],"category_scores_gemma":[0.0003371687,0.0001765744,0.0004670546,0.001226113,0.0001579065,0.0003018343,0.000477835,0.0002850656,0.0002725228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003295452,"about_ca_system_score_gemma":0.0004679987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03212662,"about_ca_topic_score_gemma":0.05826087,"domain_scores_codex":[0.9996885,0.00003485269,0.00001470718,0.000119252,0.00007205142,0.00007068127],"domain_scores_gemma":[0.9996475,0.00004676253,0.00005775757,0.00006041932,0.0001283898,0.00005918164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001749459,0.0009644364,0.7579525,0.0003538235,0.0008811573,0.001235188,0.0009351927,0.02891008,0.1250061,0.0004571316,0.005499298,0.07605569],"study_design_scores_gemma":[0.00003684108,0.0001302336,0.9685382,0.00003076186,0.0001224962,0.0001577719,0.000423582,0.02032899,0.006264567,0.0001075076,0.003829952,0.00002899281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911119,0.0002098046,0.00154772,0.00002146048,0.00003216515,0.00001242722,0.006048356,0.00008045472,0.0009355836],"genre_scores_gemma":[0.9732887,0.0002293894,0.004355538,0.00002586603,0.00005170447,0.00002348253,0.02161124,0.00002948353,0.0003845572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03212662,"threshold_uncertainty_score":0.06387919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831209039493327,"score_gpt":0.2269066459911909,"score_spread":0.1985945555962576,"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."}}