{"id":"W3047856369","doi":"10.1093/mnras/stab1214","title":"Deep generative models for galaxy image simulations","year":2021,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"National Science Foundation","keywords":"Galaxy; Generative model; Parametric statistics; Parametric model; Computer science; Physics; Deep learning; Generative grammar; Artificial intelligence; Sample (material); Machine learning; Astrophysics; Statistics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00008773509,0.0001126255,0.0001684106,0.000006344269,0.0002189138,0.00008857979,0.0005639585,0.00003782965,0.00001519527],"category_scores_gemma":[0.00004725295,0.00008662822,0.0003467348,0.00009617666,0.00008978231,0.0003826868,0.0004316348,0.0001134029,0.000002293551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000572864,"about_ca_system_score_gemma":0.00006102357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007776967,"about_ca_topic_score_gemma":0.000006490776,"domain_scores_codex":[0.999082,0.0000426376,0.000225509,0.0002944357,0.0001303962,0.0002249675],"domain_scores_gemma":[0.9990821,0.0001939787,0.0001221023,0.0003963202,0.0001419747,0.00006354726],"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":[0.000002847264,0.0000393735,0.0001706173,0.000005399424,0.00002389205,3.941776e-8,0.000330509,0.9949564,0.0002307236,0.001150275,0.0003374708,0.002752479],"study_design_scores_gemma":[0.0003228723,0.00001321093,0.001622935,0.000009158577,0.00001314181,6.719902e-9,0.00009597444,0.9915837,0.004269237,0.001662267,0.000312368,0.00009511341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06208354,0.0001064701,0.9354691,0.001703917,0.0001792554,0.0001539966,0.00002232005,0.00002994136,0.0002514658],"genre_scores_gemma":[0.5336791,5.282762e-8,0.4660099,0.0001156802,0.0000425727,0.000005157759,0.000003584384,0.000005133503,0.0001388851],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4715955,"threshold_uncertainty_score":0.3532596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510662334725302,"score_gpt":0.2537671895499657,"score_spread":0.2386605662027127,"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."}}