{"id":"W2074464944","doi":"10.1088/0004-637x/718/2/632","title":"ANGULAR POWER SPECTRA OF THE MILLIMETER-WAVELENGTH BACKGROUND LIGHT FROM DUSTY STAR-FORMING GALAXIES WITH THE SOUTH POLE TELESCOPE","year":2010,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Kavli Institute for Cosmological Physics, University of Chicago; Office of Polar Programs; McGill University; Adolph C. and Mary Sprague Miller Institute for Basic Research in Science, University of California Berkeley; Gordon and Betty Moore Foundation; U.S. Department of Energy; University of Chicago; National Science Foundation","keywords":"Physics; Astrophysics; Galaxy; Emissivity; South Pole Telescope; Telescope; Amplitude; Redshift; Spectral index; Spectral density; Context (archaeology); Astronomy; Cosmic microwave background; Spectral line; Anisotropy; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003969129,0.000458283,0.0002805125,0.001429963,0.0002499676,0.0006482453,0.0002978505,0.0003510661,0.002287241],"category_scores_gemma":[0.001378043,0.0003224101,0.0003557306,0.001330592,0.0001707072,0.0003915165,0.0006026504,0.0005847522,0.0008168209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005667118,"about_ca_system_score_gemma":0.0001722093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004170425,"about_ca_topic_score_gemma":0.006306258,"domain_scores_codex":[0.9997564,0.00003466822,0.000009491585,0.00005231056,0.0001067547,0.00004025367],"domain_scores_gemma":[0.9988664,0.0003048601,0.0002433189,0.000101164,0.0002484037,0.0002358669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001772572,0.0001456272,0.8251199,0.0001772196,0.0004614155,0.0008469923,0.0007736387,0.004050893,0.1097062,0.001663909,0.01066022,0.04462148],"study_design_scores_gemma":[0.00001178719,0.00001717834,0.996677,0.000004588934,0.00003025152,0.0001161994,0.00002462769,0.0009009052,0.001269523,0.00008608475,0.0008555841,0.000006283837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837111,0.0009541329,0.002931587,0.0006610923,0.00005374635,0.00001483532,0.002727392,0.0004407856,0.008505384],"genre_scores_gemma":[0.993654,0.0003346444,0.0008784114,0.00008410605,0.00007560163,0.00001048715,0.003573523,0.0001127315,0.00127656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004170425,"threshold_uncertainty_score":0.008292258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006004311366738418,"score_gpt":0.1896459833645746,"score_spread":0.1836416719978362,"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."}}