{"id":"W3156231661","doi":"10.1007/s10546-021-00609-1","title":"Discriminating Fog and Rain at the Kilometre Scale Using the Extinction from Collocated Infrared and Microwave Scintillometers","year":2021,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University; Environment and Climate Change Canada","funders":"Office of Naval Research","keywords":"Visibility; Scintillometer; Attenuation; Microwave; Environmental science; Remote sensing; Wavelength; Extinction (optical mineralogy); Infrared; Meteorology; Daytime; Atmospheric sciences; Physics; Optics; Geology; Turbulence","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":[0.0003213443,0.0003331222,0.0003115073,0.001045386,0.0001696466,0.0005718346,0.0003000019,0.0002906318,0.0007440583],"category_scores_gemma":[0.0008077353,0.0002034258,0.0002494662,0.0006506735,0.0001695927,0.0004594427,0.000367693,0.0002039253,0.0002483366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001788817,"about_ca_system_score_gemma":0.0001889723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005956623,"about_ca_topic_score_gemma":0.01684048,"domain_scores_codex":[0.99984,0.0000268636,0.000006186382,0.0000425105,0.00004606679,0.00003840236],"domain_scores_gemma":[0.9996024,0.0001387187,0.00006833129,0.00003027094,0.0001079614,0.00005240056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001265024,0.0002345482,0.6980332,0.00009777471,0.0003605376,0.0002775206,0.0002672523,0.01287399,0.1932384,0.0004685575,0.001142037,0.09174117],"study_design_scores_gemma":[0.00006083347,0.0001314489,0.9143054,0.00001506056,0.0001216226,0.0002208155,0.0002561041,0.06807029,0.01536625,0.0003910526,0.001024833,0.00003618436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990265,0.0001393648,0.006877289,0.00002216339,0.00002187769,0.000009673073,0.0002958054,0.0001377752,0.002231148],"genre_scores_gemma":[0.993888,0.00007996279,0.005009599,0.00002071803,0.00001463367,0.00000448248,0.0005582023,0.0000231481,0.000401282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005956623,"threshold_uncertainty_score":0.01184392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549216736440683,"score_gpt":0.2362396669096683,"score_spread":0.2207474995452615,"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."}}