{"id":"W2521581589","doi":"","title":"Evaluation de la sensibilité de l’instrument FCI à bord du nouveau satellite Meteosat Troisième Génération imageur (MTG-I) aux variations de la quantité d’aérosols d’origine désertique dans l’atmosphère","year":2016,"lang":"fr","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Physics; Humanities; Meteorological satellite; Forestry; Geography; Art; Satellite; Geostationary orbit","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":["metaresearch","metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02343645,0.001015537,0.0008300797,0.0003908933,0.00112826,0.001267796,0.001035891,0.001289111,0.0001787652],"category_scores_gemma":[0.01090184,0.001165696,0.0004926157,0.001097001,0.000566596,0.0009195199,0.0001633079,0.001219588,0.0001504479],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003928139,"about_ca_system_score_gemma":0.002981494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006424827,"about_ca_topic_score_gemma":0.00741414,"domain_scores_codex":[0.9719962,0.02241455,0.001679985,0.001408491,0.001320876,0.001179892],"domain_scores_gemma":[0.984832,0.006000543,0.001141524,0.002526987,0.004967916,0.0005309891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007187598,0.0008222734,0.008551208,0.0004206009,0.0004128094,0.00002652089,0.03356571,0.004134265,0.6988724,0.1170569,0.0002459185,0.1358195],"study_design_scores_gemma":[0.001546083,0.000004751487,0.09925665,0.002410376,0.0007480887,0.0001509038,0.0009210486,0.4859782,0.3931335,0.009637785,0.00505423,0.001158362],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4069308,0.001047148,0.5381238,0.004732913,0.0005315366,0.001412005,0.000121659,0.0005975021,0.04650257],"genre_scores_gemma":[0.8381808,0.003466517,0.1503045,0.00006156616,0.0001661151,0.0001917945,0.002348979,0.0002877007,0.004992061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.481844,"threshold_uncertainty_score":0.9998956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061872388378055,"score_gpt":0.2528988805421232,"score_spread":0.2422801566583426,"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."}}