{"id":"W4413435879","doi":"10.1017/eds.2025.10015.pr4","title":"Recommendation: Discrete variational autoencoders for synthetic nighttime visible satellite imagery — R0/PR4","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Satellite; Remote sensing; Satellite imagery; Computer science; Artificial intelligence; Meteorology; Geography; Physics; Astronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002371493,0.0007213084,0.0006683446,0.0005509164,0.0002866755,0.0006664104,0.001718041,0.001028357,0.003317229],"category_scores_gemma":[0.006969011,0.0005021134,0.0005925806,0.0006506953,0.0005592699,0.001046649,0.0007213111,0.001432878,0.00171099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007397633,"about_ca_system_score_gemma":0.001301245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01668993,"about_ca_topic_score_gemma":0.02560993,"domain_scores_codex":[0.9992725,0.0002739044,0.00003382679,0.0001575581,0.0002042964,0.00005789509],"domain_scores_gemma":[0.9978951,0.0009923209,0.0001308833,0.0003542228,0.0005528283,0.00007470068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000159541,0.00007593779,0.001881946,0.0001356273,0.0001240286,0.00009041222,0.00008106301,0.6865736,0.003695234,0.009239654,0.01720429,0.2807387],"study_design_scores_gemma":[0.000007782816,0.00001269963,0.0001440785,0.00000690592,0.000004219798,0.000009904507,0.000005764255,0.9957704,0.0008968186,0.001601657,0.001535656,0.000004146262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02206659,0.0009200673,0.9699827,0.0005497668,0.0001517827,0.000127336,0.000563112,0.002572507,0.003066181],"genre_scores_gemma":[0.4802439,0.0008920515,0.4948775,0.0004321466,0.0002081882,0.0002724767,0.004092582,0.0007943106,0.01818683],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01668993,"threshold_uncertainty_score":0.03318554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0397753126648885,"score_gpt":0.3222011936370852,"score_spread":0.2824258809721967,"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."}}