{"id":"W2346184895","doi":"10.3847/1538-4365/227/2/23","title":"MAPS OF THE MAGELLANIC CLOUDS FROM COMBINED SOUTH POLE TELESCOPE AND PLANCK DATA","year":2016,"lang":"en","type":"article","venue":"The Astrophysical Journal Supplement Series","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto; McGill University","funders":"Argonne National Laboratory; Canada Research Chairs; McGill University; Gordon and Betty Moore Foundation; U.S. Department of Energy; University of Chicago; National Science Foundation","keywords":"Telescope; Planck; Angular resolution (graph drawing); Noise (video); Cosmic microwave background; Consistency (knowledge bases); Range (aeronautics); Satellite","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":[0.0004298274,0.0003444185,0.0003102358,0.003686907,0.0003067802,0.0009622185,0.0003359325,0.0002536074,0.004746824],"category_scores_gemma":[0.001862474,0.0002453225,0.0005919433,0.005558321,0.0002489896,0.0006006434,0.001304743,0.0004004158,0.0008537588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007513898,"about_ca_system_score_gemma":0.000399361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01357988,"about_ca_topic_score_gemma":0.01661433,"domain_scores_codex":[0.9995037,0.00004610254,0.00001557259,0.0001354661,0.0002458761,0.00005316905],"domain_scores_gemma":[0.9989682,0.0001823132,0.0002647038,0.0001985475,0.0002657741,0.0001204052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009723718,0.0001579137,0.6040432,0.001213551,0.002909262,0.001787699,0.002191157,0.05098184,0.06883521,0.003414087,0.03757511,0.2259185],"study_design_scores_gemma":[0.00002745646,0.000020004,0.9785579,0.00002983399,0.0001134541,0.0001560218,0.0001949449,0.004627157,0.002170626,0.0004359783,0.01362936,0.00003732843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367573,0.0009804309,0.004042291,0.0004109266,0.00004635533,0.00005158459,0.04365835,0.0008955523,0.01315732],"genre_scores_gemma":[0.9597591,0.000444236,0.01033157,0.00005810001,0.00007644075,0.00006707638,0.02759946,0.0002029942,0.001461032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01357988,"threshold_uncertainty_score":0.02700168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440767478098511,"score_gpt":0.2204654517886544,"score_spread":0.2060577770076693,"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."}}