{"id":"W4413478733","doi":"10.1017/eds.2025.10015.pr5","title":"Decision: Discrete variational autoencoders for synthetic nighttime visible satellite imagery — R0/PR5","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; Satellite imagery; Remote sensing; Computer science; Artificial intelligence; Computer vision; Geography; Engineering","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":[0.001827019,0.0004567191,0.0004469459,0.0003388043,0.0002113327,0.0005559132,0.00122042,0.0007258723,0.003046181],"category_scores_gemma":[0.00564972,0.000358203,0.0004038115,0.0003451507,0.0006183747,0.0009234155,0.0007833962,0.001179194,0.0009960439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006606416,"about_ca_system_score_gemma":0.001020605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006911705,"about_ca_topic_score_gemma":0.00840212,"domain_scores_codex":[0.9994252,0.0002171032,0.00002420676,0.0001186244,0.0001691808,0.00004578774],"domain_scores_gemma":[0.9985828,0.000758651,0.0001061749,0.0001536945,0.0003421775,0.0000565677],"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":[0.0001011515,0.00004009383,0.001064256,0.00008422429,0.00005525403,0.0000646041,0.00007862855,0.8238003,0.003272555,0.0172094,0.006336382,0.1478933],"study_design_scores_gemma":[0.000003885476,0.000007730414,0.00008980597,0.000004916281,0.000001887959,0.000006095145,0.000003925841,0.9958198,0.0008787,0.002252314,0.0009283905,0.000002436997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02384457,0.0004544985,0.9711067,0.0004057727,0.00008042261,0.0000744603,0.0002733533,0.0009658894,0.002794367],"genre_scores_gemma":[0.6789864,0.0004765159,0.303019,0.0003011066,0.0001183411,0.0002019799,0.001747839,0.0004078197,0.014741],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006911705,"threshold_uncertainty_score":0.01374292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03110978089880394,"score_gpt":0.3182434472935843,"score_spread":0.2871336663947804,"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."}}