{"id":"W2530734350","doi":"10.1093/mnras/stw2721","title":"The SCUBA-2 Cosmology Legacy Survey: 850 μm maps, catalogues and number counts","year":2016,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":328,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Herzberg Institute of Astrophysics; McGill University; Saint Mary's University; Dalhousie University; St. Mary's University; University of British Columbia","funders":"Canadian Space Agency; Science and Technology Facilities Council; National Astronomical Observatory of Japan; Korea Astronomy and Space Science Institute; Chinese Academy of Sciences; Academia Sinica; Durham University","keywords":"Physics; James Clerk Maxwell Telescope; Cosmic variance; Astrophysics; Galaxy; Cosmology; Poisson distribution; Redshift; Astronomy; COSMIC cancer database; Star formation; Statistics","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":[0.0003392401,0.0001316516,0.000162675,0.000004094027,0.0002634649,0.00005107901,0.0003249645,0.00004556734,0.0001098293],"category_scores_gemma":[0.00001659319,0.00006969304,0.0001407454,0.00003930888,0.0004358563,0.0001464712,0.0001826501,0.0001049461,0.0001305935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006264755,"about_ca_system_score_gemma":0.00004858352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008203486,"about_ca_topic_score_gemma":0.00006540601,"domain_scores_codex":[0.9991199,0.0001004219,0.0002453987,0.0001608687,0.0001141926,0.0002591516],"domain_scores_gemma":[0.9991724,0.0002603499,0.0001840648,0.0002685649,0.00005905948,0.00005557987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001176663,0.00002842506,0.9885528,0.000003355632,0.00008073508,4.49705e-10,0.0001166461,0.000374337,0.000001801921,0.001044902,0.009467731,0.0003174641],"study_design_scores_gemma":[0.0003025103,0.00001224254,0.9929518,0.000007802961,0.00002127652,8.055592e-9,0.0001330543,0.002426494,0.00002902428,0.0005015081,0.003524616,0.00008970231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983496,0.00005344746,0.00003206889,0.0005011288,0.0002456132,0.0001258164,0.0002202535,0.00001200859,0.0004600856],"genre_scores_gemma":[0.9984818,3.381789e-7,0.000183136,0.000003685477,0.0001501895,0.00001048477,0.00004925762,0.00001178022,0.001109299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005943115,"threshold_uncertainty_score":0.2842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007931519183100044,"score_gpt":0.2046627246481297,"score_spread":0.1967312054650297,"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."}}