{"id":"W4323044636","doi":"10.5194/amt-16-1103-2023","title":"Relationship between the sub-micron fraction (SMF) and fine-mode fraction (FMF) in the context of AERONET retrievals","year":2023,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; National Research Council Canada; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Goddard Space Flight Center; Brookhaven National Laboratory; Environment and Climate Change Canada; Strong; National Aeronautics and Space Administration","keywords":"AERONET; Aerosol; Cutoff; Effective radius; Angstrom exponent; Context (archaeology); RADIUS; Radiance; Physics; Astrophysics; Optics; Meteorology; Galaxy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002262587,0.0001874547,0.0002241846,0.000001392813,0.0002437554,0.00003637753,0.0002969042,0.0001400475,0.00008744551],"category_scores_gemma":[0.0002626187,0.0001221845,0.00005989542,0.0008256806,0.0002144365,0.0002242456,0.00009733227,0.0003193938,0.00004550032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002741306,"about_ca_system_score_gemma":0.00001884105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001588878,"about_ca_topic_score_gemma":0.0002897414,"domain_scores_codex":[0.9978893,0.0002830242,0.0004369457,0.0003088902,0.000815208,0.0002665852],"domain_scores_gemma":[0.9989311,0.0003211132,0.0002708371,0.0004068578,0.00003075185,0.00003937733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003013,0.00004764365,0.9306047,0.00001696973,0.00001213234,0.000001416827,0.0006377018,0.00003148152,0.02144031,0.00008958497,0.01179325,0.03529468],"study_design_scores_gemma":[0.0001830035,0.0001600182,0.9684401,0.00004675538,0.0000380228,0.000002507627,0.000948601,0.0003396939,0.02139172,0.002015177,0.006255501,0.0001788897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913873,0.0001684425,0.004725896,0.001412957,0.0000385034,0.0007993074,0.000003058001,0.0001614358,0.001303104],"genre_scores_gemma":[0.9977745,0.0001269291,0.00161509,0.0002163122,0.0000532703,0.0001180884,0.000008323844,0.00002040463,0.00006703535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03783542,"threshold_uncertainty_score":0.4982537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04331009244039162,"score_gpt":0.2783545600397223,"score_spread":0.2350444675993307,"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."}}