{"id":"W4411474806","doi":"10.1016/j.jaerosci.2025.106636","title":"Direct inversion for bidimensional distributions of aerosol characteristics","year":2025,"lang":"en","type":"article","venue":"Journal of Aerosol Science","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Aerosol; Inversion (geology); Environmental science; Atmospheric sciences; Meteorology; Statistical physics; Geology; Physics; Geomorphology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000329315,0.0004703619,0.000337495,0.0003380984,0.0002464973,0.0009363279,0.0005691829,0.0004581179,0.002553824],"category_scores_gemma":[0.001520653,0.0004236111,0.0003728006,0.0004517182,0.0002668697,0.001068975,0.0006340892,0.000607838,0.0007393932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003110396,"about_ca_system_score_gemma":0.001000919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007482836,"about_ca_topic_score_gemma":0.0112979,"domain_scores_codex":[0.9999051,0.0000179898,0.000005398063,0.00001736827,0.00003967425,0.00001451147],"domain_scores_gemma":[0.9996543,0.0001464859,0.00002602943,0.00006358352,0.00009301242,0.00001663023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005481227,0.0002697176,0.009054436,0.0005448962,0.0002435896,0.0003772365,0.0002231215,0.6135816,0.1416816,0.020507,0.00492839,0.2080403],"study_design_scores_gemma":[0.00003219517,0.00001239537,0.0008730814,0.000006918901,0.000008873341,0.00004313555,0.00001674123,0.9866325,0.009424424,0.001944501,0.0009962799,0.000008941418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2218561,0.0006161447,0.7651343,0.0003241143,0.000151811,0.000130703,0.00146553,0.001885688,0.008435713],"genre_scores_gemma":[0.7457609,0.0004791158,0.2458922,0.0001471792,0.00008194274,0.0001083354,0.001403596,0.0003582096,0.005768577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007482836,"threshold_uncertainty_score":0.01487857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008141367944034717,"score_gpt":0.2491253233773688,"score_spread":0.2409839554333341,"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."}}