{"id":"W2150780877","doi":"10.1088/0004-637x/719/1/763","title":"EXTRAGALACTIC MILLIMETER-WAVE SOURCES IN SOUTH POLE TELESCOPE SURVEY DATA: SOURCE COUNTS, CATALOG, AND STATISTICS FOR AN 87 SQUARE-DEGREE FIELD","year":2010,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":335,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Space Agency; Adolph C. and Mary Sprague Miller Institute for Basic Research in Science, University of California Berkeley; Kavli Institute for Cosmological Physics, University of Chicago; Jet Propulsion Laboratory; Commonwealth Scientific and Industrial Research Organisation; McGill University; Office of Polar Programs; Gordon and Betty Moore Foundation; W. M. Keck Foundation; California Institute of Technology; National Aeronautics and Space Administration; Smithsonian Institution; National Science Foundation","keywords":"Physics; Astrophysics; Source counts; Astronomy; Jansky; Population; Galaxy; Synchrotron; Flux (metallurgy); Telescope; Active galactic nucleus; Millimeter; Radio galaxy; Redshift; 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":[0.0008479515,0.0002990607,0.0006313442,0.008270432,0.0002923395,0.0006142427,0.0006124279,0.0003536432,0.006710411],"category_scores_gemma":[0.003527548,0.0002995661,0.0002915262,0.01254408,0.0002019123,0.0006616306,0.001019269,0.0004575697,0.007101907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004095483,"about_ca_system_score_gemma":0.0007790427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01853269,"about_ca_topic_score_gemma":0.02000825,"domain_scores_codex":[0.9989598,0.00007336449,0.000136396,0.0001424544,0.0005733274,0.0001147837],"domain_scores_gemma":[0.9947482,0.0007860685,0.001707266,0.0006280732,0.001671153,0.0004592225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002618798,0.0001086481,0.7752509,0.000215103,0.0001666507,0.0001029278,0.0002345625,0.0009722094,0.001489265,0.0005537802,0.1732488,0.04739519],"study_design_scores_gemma":[0.00002638457,0.00002022273,0.9840375,0.00001410138,0.00002949391,0.000114313,0.0001004279,0.0002771538,0.0001912656,0.00006208939,0.01511941,0.000007660208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3984403,0.001707487,0.002062281,0.0003816602,0.000098991,0.0001582601,0.5853379,0.0008189372,0.01099411],"genre_scores_gemma":[0.2725861,0.00199718,0.002396846,0.0001102458,0.0002053651,0.0001872137,0.7166672,0.0002093453,0.005640435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01853269,"threshold_uncertainty_score":0.03684962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04883612750137268,"score_gpt":0.2724534527573494,"score_spread":0.2236173252559767,"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."}}