{"id":"W2581974067","doi":"10.3847/1538-4357/aa65d0","title":"The SCUBA-2 Cosmology Legacy Survey: Multi-wavelength Properties of ALMA-identified Submillimeter Galaxies in UKIDSS UDS","year":2017,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institutes of Natural Sciences; Science and Technology Facilities Council; National Astronomical Observatory of Japan; National Science Council; Aspen Center for Physics; National Radio Astronomy Observatory; National Science Foundation","keywords":"Physics; Astrophysics; Galaxy; Redshift; Photometric redshift; Spectral energy distribution; Luminous infrared galaxy; Infrared; Population; Astronomy; Wavelength; Luminosity; Optics","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":[0.0002679052,0.0002616878,0.0002438586,0.002428586,0.000353611,0.000619296,0.0003415519,0.0001825462,0.001161293],"category_scores_gemma":[0.0009279842,0.0001633447,0.0002149347,0.001231224,0.0002680764,0.0003253307,0.0009051805,0.0001620196,0.0004393311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00035812,"about_ca_system_score_gemma":0.0001426301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01777584,"about_ca_topic_score_gemma":0.02956756,"domain_scores_codex":[0.9997693,0.00003354839,0.00002225981,0.00006565399,0.00005168326,0.0000574993],"domain_scores_gemma":[0.9989518,0.0001098183,0.0004022079,0.0001515816,0.0001688683,0.0002156715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004636243,0.00001505729,0.9952325,0.000007977763,0.00002141473,0.0000472828,0.0001659751,0.00005961729,0.002249429,0.00003400904,0.0002414935,0.001878923],"study_design_scores_gemma":[0.000001419575,0.00000645084,0.9995229,0.000002288504,0.000002905892,0.00004016494,0.00005684002,0.000097446,0.0001155985,0.000005481157,0.0001473718,0.000001105187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989065,0.0000570163,0.00004406278,0.000007876925,0.000001299128,0.000003999796,0.0006188905,0.000008301952,0.0003520663],"genre_scores_gemma":[0.9982507,0.00002724849,0.000130859,0.00001360527,0.000004858169,0.000006004068,0.001371218,0.000003164284,0.0001924127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01777584,"threshold_uncertainty_score":0.03534472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03068148978838796,"score_gpt":0.2485788884797133,"score_spread":0.2178973986913254,"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."}}