{"id":"W7002112306","doi":"","title":"Measurement of the CMB temperature power spectrum and constraints on cosmology from the SPT-3G 2018 TT, TE, and EE dataset","year":2023,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fermilab; High Energy Physics; Institut National de Physique Nucléaire et de Physique des Particules; Office of Science; Science and Technology Facilities Council; Alfred P. Sloan Foundation; Natural Sciences and Engineering Research Council of Canada; Argonne National Laboratory; U.S. Department of Energy; European Commission; Centre National d’Etudes Spatiales; McGill University; University of Chicago; National Science Foundation","keywords":"Cosmic microwave background; Spectral density; Multipole expansion; Cosmology; Cosmic variance; Neutrino; Cosmic background radiation; Amplitude; Reionization; Baryon acoustic oscillations","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006646002,0.0008280575,0.0005967459,0.001893727,0.0004310957,0.0007012779,0.0007210308,0.0005468616,0.00236402],"category_scores_gemma":[0.002773205,0.0002503352,0.0005133127,0.002358768,0.0002671818,0.0005695294,0.001160097,0.0006764415,0.002622955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000459751,"about_ca_system_score_gemma":0.0003548464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076047,"about_ca_topic_score_gemma":0.01623918,"domain_scores_codex":[0.9994717,0.0000722754,0.00002934025,0.0001454895,0.0001840051,0.00009725348],"domain_scores_gemma":[0.9982007,0.0001817606,0.000382408,0.0006078543,0.0003904752,0.0002368083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001061208,0.0004715796,0.6647559,0.0003681427,0.000590454,0.0007777628,0.0005270198,0.0140415,0.02196954,0.002036311,0.2421492,0.05125131],"study_design_scores_gemma":[0.0002189783,0.0000883888,0.8942526,0.00006369424,0.00008908416,0.0005166233,0.0002135531,0.0132314,0.00429165,0.001088741,0.08588666,0.00005865277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6012902,0.0002337729,0.002279097,0.000387634,0.00006741982,0.00004778301,0.3894597,0.001223663,0.005010617],"genre_scores_gemma":[0.3143646,0.0001169316,0.004542092,0.0001475371,0.0001195832,0.0001485547,0.6792365,0.0002973602,0.001026852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01076047,"threshold_uncertainty_score":0.02139562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135098745759191,"score_gpt":0.1959063726406451,"score_spread":0.182396498064726,"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."}}