{"id":"W3106043110","doi":"","title":"A comparison of maps and power spectra determined from South Pole Telescope and Planck Data","year":2018,"lang":"en","type":"article","venue":"Max Planck Digital Library","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto; Canadian Institute for Advanced Research; McGill University","funders":"","keywords":"Planck; Physics; Sky; Spectral density; Astrophysics; Spectral line; Tilt (camera); Telescope; Calibration; Noise (video); Multipole expansion; Computational physics; Statistics; Astronomy; Mathematics; Geometry","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":[0.001813225,0.0003725128,0.0003009717,0.002384789,0.0002676047,0.001221496,0.0005904,0.0004648999,0.001658682],"category_scores_gemma":[0.01304959,0.0004689262,0.0006629009,0.002135626,0.0005347311,0.001124365,0.001135375,0.0003354667,0.0004400485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004179872,"about_ca_system_score_gemma":0.0001745109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002756297,"about_ca_topic_score_gemma":0.002028675,"domain_scores_codex":[0.9988717,0.000193819,0.00006924486,0.0004071326,0.0003634453,0.00009451248],"domain_scores_gemma":[0.9933971,0.002829265,0.001133132,0.00146953,0.0009705834,0.0002003353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006237286,0.00004425263,0.932003,0.0001366054,0.0009405923,0.0004988759,0.0006843832,0.01745593,0.01823763,0.001721539,0.001011603,0.02664187],"study_design_scores_gemma":[0.00001204228,0.00003091312,0.9866217,0.000009988271,0.00008091229,0.000167646,0.0001030224,0.009346919,0.002493168,0.0003913116,0.0007222956,0.00002005433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947219,0.0000957497,0.002778359,0.00005107776,0.00000991103,0.000009136435,0.0007164032,0.0001546406,0.001462823],"genre_scores_gemma":[0.9954733,0.0000529684,0.001928798,0.00001691551,0.00001452381,0.0000106218,0.00223713,0.0001129655,0.0001528467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002756297,"threshold_uncertainty_score":0.009589314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561028003537282,"score_gpt":0.2480781448114408,"score_spread":0.232467864776068,"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."}}