{"id":"W4412841067","doi":"10.1007/s44274-025-00311-w","title":"Seasonal AOD analysis based on AERONET observations in North and West Africa over 2010–2019","year":2025,"lang":"en","type":"article","venue":"Discover Environment","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de réadaptation Lethbridge-Layton-Mackay","funders":"National Oceanic and Atmospheric Administration","keywords":"AERONET; Geography; Climatology; Environmental science; Meteorology; Geology; Aerosol","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007924502,0.0001852796,0.0001965456,0.000008845438,0.00009816203,0.00003320472,0.0001568245,0.00005693893,0.003265104],"category_scores_gemma":[0.000006474888,0.0001646601,0.00008353912,0.0004992358,0.0001571951,0.0001300685,0.0001758181,0.0001219664,0.0001497974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002767231,"about_ca_system_score_gemma":0.00001227001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005413253,"about_ca_topic_score_gemma":0.001022096,"domain_scores_codex":[0.9986821,0.00004266348,0.0002027719,0.0004604274,0.0003418941,0.0002701114],"domain_scores_gemma":[0.9994403,0.0000531356,0.00005652907,0.000367797,7.180739e-7,0.000081556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000188438,0.0002235229,0.858245,0.000002103561,0.00003513176,0.000003193327,0.00008595988,0.1388889,0.00009301254,0.00006149791,0.001758175,0.0005846741],"study_design_scores_gemma":[0.0004058318,0.00003985959,0.9571991,0.00000530779,0.000101499,5.918236e-8,0.00003813696,0.03374866,0.00001243073,0.00004043563,0.008242295,0.0001663874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922069,0.00006601171,0.003015339,0.0006009448,0.00004537187,0.0001959004,0.00005350703,0.00001083797,0.003805143],"genre_scores_gemma":[0.994068,0.00004416361,0.0008426908,0.0009042707,0.000009206259,0.000044359,0.00005508208,0.000009555297,0.00402273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1051402,"threshold_uncertainty_score":0.997646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00840743643038669,"score_gpt":0.2003582289593765,"score_spread":0.1919507925289899,"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."}}