{"id":"W1547430321","doi":"10.1088/0004-637x/808/1/91","title":"MEASURING INFRARED SURFACE BRIGHTNESS FLUCTUATION DISTANCES WITH<i>HST</i>WFC3: CALIBRATION AND ADVICE","year":2015,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"Physics; Wide Field Camera 3; Astrophysics; Galaxy; Surface brightness; Surface brightness fluctuation; Luminosity; Infrared; Astronomy; Stellar population; Luminous infrared galaxy; Brightness; Calibration; Hubble space telescope; Lenticular galaxy; Star formation","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":[0.001025001,0.0004700629,0.0002774143,0.001723976,0.0002980542,0.000498267,0.0006562183,0.0002535731,0.001811542],"category_scores_gemma":[0.001897771,0.0002323784,0.0003455784,0.001853231,0.0002123117,0.0005932149,0.0004418195,0.0004466756,0.001345792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007076386,"about_ca_system_score_gemma":0.0003540136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057395,"about_ca_topic_score_gemma":0.03307054,"domain_scores_codex":[0.9993477,0.00005577329,0.00004199367,0.0001415389,0.0003470533,0.0000660148],"domain_scores_gemma":[0.9983461,0.0001333564,0.0003503804,0.0005102913,0.0005552068,0.0001046608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003392035,0.0001087019,0.5592477,0.0001208181,0.0001586023,0.0001262858,0.0004258487,0.008261522,0.0937575,0.002098751,0.02007815,0.315277],"study_design_scores_gemma":[0.00001453864,0.00003478618,0.8926187,0.00001790857,0.00003874761,0.0002397404,0.00008432238,0.03184649,0.05771597,0.00103871,0.01627746,0.00007261436],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6499597,0.0007066251,0.3042884,0.0002054534,0.0001091547,0.0001654439,0.02005018,0.0100984,0.01441663],"genre_scores_gemma":[0.7832086,0.0003534315,0.1915819,0.0001486249,0.0000697262,0.0001964417,0.0202385,0.001415603,0.002787127],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02057395,"threshold_uncertainty_score":0.0409084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283745154442453,"score_gpt":0.2014125596079777,"score_spread":0.1885751080635532,"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."}}