{"id":"W4413478742","doi":"10.1017/eds.2025.10015","title":"Discrete variational autoencoders for synthetic nighttime visible satellite imagery","year":2025,"lang":"en","type":"article","venue":"Environmental Data Science","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Satellite; Remote sensing; Satellite imagery; Computer science; Artificial intelligence; Computer vision; Meteorology; Geography; Physics; Astronomy","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":[0.0007019794,0.000393563,0.0003068255,0.0002121799,0.0001720165,0.0003490227,0.0006610127,0.0005928879,0.0009758933],"category_scores_gemma":[0.001963015,0.0003069145,0.0004389029,0.0002629769,0.0005343757,0.0004157303,0.000476891,0.001050045,0.0002099161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006105723,"about_ca_system_score_gemma":0.0005297773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01212394,"about_ca_topic_score_gemma":0.01280009,"domain_scores_codex":[0.9998507,0.00005291856,0.000007077014,0.00003503515,0.00003470259,0.00001951304],"domain_scores_gemma":[0.9994131,0.0004132055,0.00004262352,0.0000452768,0.00006510602,0.00002069206],"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":[0.00002146308,0.00001307282,0.0003629665,0.0000119719,0.00001305497,0.00001797593,0.00001559096,0.9828798,0.0009238893,0.003050501,0.0003478279,0.01234192],"study_design_scores_gemma":[6.765712e-7,0.000001820008,0.00003954226,7.485484e-7,4.031747e-7,0.000001120321,9.266957e-7,0.9993643,0.0001417698,0.0004019163,0.00004614132,6.758289e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1386317,0.0003299564,0.857161,0.0004351918,0.00006616391,0.00003993283,0.0002793082,0.0006891696,0.002367662],"genre_scores_gemma":[0.8944035,0.000129813,0.1014322,0.0001066343,0.00002733771,0.00005033653,0.00051308,0.00009306284,0.003244052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01212394,"threshold_uncertainty_score":0.02410674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008286408837300545,"score_gpt":0.256655688708858,"score_spread":0.2483692798715574,"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."}}