{"id":"W4410022407","doi":"10.1016/j.pss.2025.106119","title":"Using imagery from the Mars Science Laboratory mission to understand wind properties of aerosols aloft","year":2025,"lang":"en","type":"article","venue":"Planetary and Space Science","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"York University","keywords":"Mars Exploration Program; Astrobiology; Environmental science; Exploration of Mars; Meteorology; Solar wind; Astronomy; Geology; Remote sensing; Atmospheric sciences; Physics; Plasma","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":[0.000607214,0.00009958771,0.0001175794,0.0001041585,0.0007227935,0.0001812761,0.0004133273,0.00001361667,0.0000156651],"category_scores_gemma":[0.00003631779,0.00006526149,0.00001223756,0.001067007,0.001240821,0.0009728255,0.0001078092,0.00008160798,0.000009582753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001592824,"about_ca_system_score_gemma":0.0005279574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009389122,"about_ca_topic_score_gemma":0.00002660938,"domain_scores_codex":[0.9988942,0.00002578783,0.0001323971,0.0003371905,0.000351638,0.000258857],"domain_scores_gemma":[0.9994734,0.00006722747,0.00005483674,0.0002306724,0.00007063453,0.0001032277],"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":[0.00003623187,0.00002139485,0.1094041,0.000008520909,0.000007000263,0.000001093033,0.001832844,0.003723064,0.8827391,0.001070399,0.0003822771,0.0007739738],"study_design_scores_gemma":[0.0009897725,0.0002620568,0.2900826,0.001192475,0.0001321753,0.000004821916,0.04065835,0.09837625,0.5540701,0.009756492,0.003281776,0.001193181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969265,0.0002246323,0.0009205153,0.0009670336,0.0001797813,0.0001550904,0.00006690693,0.000007607646,0.0005518791],"genre_scores_gemma":[0.9987323,0.000007191108,0.0009522032,0.000218487,0.00003325224,3.355657e-7,0.00001252999,0.000001556478,0.00004209141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3286691,"threshold_uncertainty_score":0.5559216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03290427391970078,"score_gpt":0.2461842398529215,"score_spread":0.2132799659332207,"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."}}