{"id":"W3092978328","doi":"","title":"Canadian wildfire smoke over central Europe: Optical characterization by means of tropospheric and stratospheric depolarization and lidar ratios at 355, 532, and 1064 nm","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lidar; Environmental science; Troposphere; Remote sensing; Atmospheric sciences; Characterization (materials science); Stratosphere; Smoke; Depolarization ratio; Meteorology; Climatology; Materials science; Geography; Geology; Nanotechnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103921,0.0002541564,0.00021959,0.00001638288,0.0002374095,0.0001849834,0.0001137796,0.0001566504,0.0001521737],"category_scores_gemma":[0.00004188438,0.0002201629,0.00001854581,0.0002136083,0.0003177696,0.0004708718,0.00009183364,0.0001404988,0.00001368744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001363973,"about_ca_system_score_gemma":0.0000722197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01574233,"about_ca_topic_score_gemma":0.03457023,"domain_scores_codex":[0.9984155,0.00007113883,0.00032298,0.0004777387,0.0002878002,0.0004247922],"domain_scores_gemma":[0.9991629,0.0000198903,0.0001811996,0.0001701975,0.00004091329,0.0004248914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001625033,0.00002734372,0.1147096,0.000009546413,0.00001342958,0.000009253228,0.000398213,0.00006274207,0.8768401,0.00005864907,0.0003082039,0.007546621],"study_design_scores_gemma":[0.0002660548,0.0001385689,0.9500922,0.00002250108,0.0000254228,0.00004265134,0.00003298329,0.004606857,0.04312418,0.00001604381,0.001367157,0.0002653775],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996973,0.00004104217,0.0003489412,0.0004578723,0.0001134748,0.0002537424,0.00002642599,0.00002421691,0.00176127],"genre_scores_gemma":[0.9973021,0.0001601411,0.001555834,0.0002458488,0.00009183716,0.000001063062,0.0001241754,0.00002118216,0.0004978797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8353826,"threshold_uncertainty_score":0.9908119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005806227008097814,"score_gpt":0.1915477676413721,"score_spread":0.1857415406332742,"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."}}