{"id":"W4415649308","doi":"10.1016/j.jqsrt.2026.109996","title":"Combining ALI Space-based and MPL Ground-based Measurements for Improved Aerosol Characterization","year":2025,"lang":"en","type":"article","venue":"Journal of Quantitative Spectroscopy and Radiative Transfer","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Lidar; Aerosol; Backscatter (email); Troposphere; Atmosphere (unit); Satellite; Stratosphere; Radiative transfer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004475392,0.0002004389,0.0003557856,0.00001533766,0.0002494545,0.00005793962,0.00009432463,0.00006964262,0.0000589376],"category_scores_gemma":[0.00004110925,0.000161892,0.00009979444,0.0002065451,0.0002953295,0.000278054,0.00000937321,0.0001628124,0.000001050826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028271,"about_ca_system_score_gemma":0.00007020433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002574932,"about_ca_topic_score_gemma":0.00003056938,"domain_scores_codex":[0.9988679,0.0001119141,0.0003722193,0.0002289819,0.0001850789,0.0002339631],"domain_scores_gemma":[0.9994275,0.0001900469,0.0001502709,0.000068038,0.00006275378,0.0001014198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000894443,0.0001440904,0.01976446,0.000041895,0.00009847285,0.00000130817,0.0006637638,0.0001543263,0.9764227,0.001290454,0.0000361169,0.000487995],"study_design_scores_gemma":[0.01300889,0.004582072,0.3470075,0.0003360296,0.0004218517,0.000004309189,0.000919479,0.02632922,0.6042027,0.001525536,0.001035392,0.0006269137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5861756,0.0001454772,0.4119844,0.001142261,0.0001043948,0.0002811822,0.00001747831,0.000005999931,0.0001431981],"genre_scores_gemma":[0.9778062,0.00008680032,0.02138034,0.0006176624,0.00002403764,0.00001553038,0.000007687324,0.00001546445,0.00004624056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3916307,"threshold_uncertainty_score":0.6601763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315887859679816,"score_gpt":0.2856236336187684,"score_spread":0.2624647550219703,"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."}}