{"id":"W2152777658","doi":"10.1088/0004-637x/786/1/13","title":"CMB LENSING POWER SPECTRUM BIASES FROM GALAXIES AND CLUSTERS USING HIGH-ANGULAR RESOLUTION TEMPERATURE MAPS","year":2014,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cosmic microwave background; Galaxy; Weak gravitational lensing; Spectral density; Multipole expansion; Cosmic infrared background; Gravitational lens; Galaxy cluster; Cosmology","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":[0.001551831,0.0004708365,0.0002618496,0.0005945451,0.0002728657,0.0009929314,0.00059089,0.0003649585,0.001409306],"category_scores_gemma":[0.01115488,0.0003473953,0.0004481799,0.0007581598,0.0004325385,0.0009857692,0.0006568963,0.0004688585,0.0002099942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008336489,"about_ca_system_score_gemma":0.0004693421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00926179,"about_ca_topic_score_gemma":0.007827864,"domain_scores_codex":[0.9994776,0.0001650944,0.00001979,0.00008823755,0.0001940777,0.00005520907],"domain_scores_gemma":[0.9969031,0.001804973,0.0004689973,0.0004341598,0.0002880621,0.0001006734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007874003,0.0000837963,0.1918579,0.0002975235,0.0004665958,0.0003400139,0.0007140586,0.5962905,0.060703,0.02912069,0.002065143,0.1172733],"study_design_scores_gemma":[0.00004886041,0.00006375141,0.08924402,0.00006857573,0.000126751,0.0002411268,0.0001114191,0.8595954,0.03556674,0.012818,0.002035527,0.00007978865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8467909,0.0004441985,0.1434354,0.0004301831,0.00004083301,0.00002639763,0.0003291952,0.000954874,0.007548025],"genre_scores_gemma":[0.9812557,0.0001119747,0.01783517,0.00004735842,0.00001309912,0.000006566202,0.0002488822,0.0001442964,0.0003368771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00926179,"threshold_uncertainty_score":0.01841575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008486259478571435,"score_gpt":0.2056304401956139,"score_spread":0.1971441807170425,"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."}}