{"id":"W4408487378","doi":"10.5194/egusphere-egu25-15896","title":"Vertical distribution of the concentrations of multiple aerosol types derived from the multiwavelength spaceborne lidar of the future Atmosphere Observing System ","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerosol; Atmosphere (unit); Lidar; Remote sensing; Environmental science; Atmospheric sciences; Meteorology; Physics; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008316508,0.0001166051,0.00008342783,0.0004775242,0.0001173478,0.0002256432,0.0001066872,0.0002412728,0.0007224322],"category_scores_gemma":[0.0001639197,0.00006261352,0.000127408,0.000431498,0.00004828031,0.0001920992,0.0001459831,0.0001668963,0.0001943903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001889774,"about_ca_system_score_gemma":0.0001661009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01330458,"about_ca_topic_score_gemma":0.01585589,"domain_scores_codex":[0.9999206,0.000004317525,0.000003445903,0.00002806678,0.00002921786,0.0000143109],"domain_scores_gemma":[0.999899,0.00001044869,0.00002614364,0.000005546621,0.00004623139,0.00001260408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001514254,0.00009525305,0.8134477,0.00007448174,0.00008442253,0.0002224603,0.0002376842,0.00153585,0.1158335,0.0003938083,0.003271662,0.06465168],"study_design_scores_gemma":[0.00000590832,0.00004858673,0.9853073,0.000008107355,0.00002057574,0.0000892239,0.00009977187,0.006254083,0.005022922,0.00007789962,0.003054056,0.00001168495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923196,0.0002111395,0.0009808199,0.00005588679,0.00002072791,0.000008319682,0.00408089,0.00007758942,0.002245015],"genre_scores_gemma":[0.9944992,0.00008491285,0.001027539,0.00003237243,0.000008879525,0.000007734813,0.003284642,0.000005061973,0.001049633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01330458,"threshold_uncertainty_score":0.02645427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009490285483917555,"score_gpt":0.2031543787230827,"score_spread":0.1936640932391652,"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."}}