{"id":"W3183262208","doi":"10.5194/amt-2021-148","title":"Coincident In-situ and Triple-Frequency Radar Airborne Observations in the Arctic","year":2021,"lang":"en","type":"article","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":25,"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; Rayleigh scattering; Particle (ecology); Geology; Geography; Physics; Optics; 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":[0.0003725135,0.0002564841,0.0002746306,0.0007399879,0.0003624707,0.0005100082,0.0002152725,0.0002673242,0.0003471778],"category_scores_gemma":[0.0002615768,0.0001153365,0.0002645434,0.000812894,0.0001157922,0.0002560763,0.0003301612,0.0001998385,0.000177431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004598995,"about_ca_system_score_gemma":0.0004348023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08864588,"about_ca_topic_score_gemma":0.1433697,"domain_scores_codex":[0.9998192,0.00002481399,0.000009199049,0.00006115654,0.00003866172,0.00004699936],"domain_scores_gemma":[0.9997385,0.00003304089,0.00004350107,0.00003546765,0.00009844415,0.0000510556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001179942,0.0004731546,0.8907354,0.0001602732,0.0004432545,0.0006350893,0.0007028152,0.01661611,0.04608577,0.0004422226,0.002581056,0.03994489],"study_design_scores_gemma":[0.00001514738,0.00005266485,0.9846638,0.00001701602,0.00004611629,0.00006531097,0.0003306438,0.01001012,0.002754665,0.00005430154,0.001977722,0.00001244009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995729,0.0001120447,0.0004236059,0.00001519275,0.00001249346,0.000003714341,0.002929477,0.00002340293,0.0007511838],"genre_scores_gemma":[0.9916505,0.0001266758,0.0009938582,0.00001043208,0.00001667578,0.000005574058,0.006897671,0.000008004552,0.0002905112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08864588,"threshold_uncertainty_score":0.1762598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772888738057137,"score_gpt":0.2253440377964669,"score_spread":0.2076151504158955,"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."}}