{"id":"W7011479123","doi":"","title":"Modeling and subtracting diffuse cluster light in JWST images","year":2024,"lang":"en","type":"article","venue":"Repository of the University of Ljubljana (University of Ljubljana)","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Herzberg Institute of Astrophysics","funders":"Alliance de recherche numérique du Canada; Javna Agencija za Raziskovalno Dejavnost RS; Canadian Space Agency; Space Telescope Science Institute; Canarie; Canadian Foundation for AIDS Research; National Aeronautics and Space Administration","keywords":"Globular cluster; Dark matter; Galaxy; Cluster (spacecraft); Galaxy cluster; James Webb Space Telescope; Photometry (optics); Gravitational lens","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001209366,0.0001104806,0.0001887755,0.0001075066,0.0001904928,0.000006616209,0.000358039,0.000121986,0.000004507448],"category_scores_gemma":[0.000008292074,0.0001250599,0.000141519,0.0001824743,0.0002505366,0.00003397412,0.0002774952,0.0001470959,4.195342e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004232381,"about_ca_system_score_gemma":0.00007576866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005327551,"about_ca_topic_score_gemma":0.0002418335,"domain_scores_codex":[0.9992874,0.00004952234,0.0001220942,0.0002835291,0.0001119352,0.0001455534],"domain_scores_gemma":[0.9994183,0.00001887747,0.0001199648,0.0003195768,0.00007991022,0.00004333539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009934628,0.000078444,0.00140867,0.0001470013,0.00006765342,0.000009233435,0.0005367456,0.001021074,0.9950424,0.0003098597,0.0005847325,0.000694868],"study_design_scores_gemma":[0.002302321,0.000467982,0.00586,0.0009741618,0.0004370248,0.0001002988,0.01174675,0.03225118,0.9108106,0.0006074568,0.03361213,0.0008301221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847727,0.0008045729,0.01223455,0.0006971499,0.00004113096,0.0001699969,0.00001674101,0.00001752303,0.001245584],"genre_scores_gemma":[0.9946171,0.0004517093,0.003316752,0.00000753068,0.00001520684,4.039304e-8,0.000006002372,0.000009752107,0.001575885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08423179,"threshold_uncertainty_score":0.5099796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004579367479785679,"score_gpt":0.21889173295687,"score_spread":0.2143123654770843,"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."}}