{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001264081,0.0002694249,0.0003148094,0.00004340074,0.0006972668,0.0003317308,0.0002339195,0.00003340647,0.00005148576],"category_scores_gemma":[0.000006873777,0.0001867002,0.000159201,0.0001224204,0.0001976175,0.0002533025,0.0001459785,0.0006189812,0.00001698587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004527064,"about_ca_system_score_gemma":0.00004539191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003205526,"about_ca_topic_score_gemma":0.000001311175,"domain_scores_codex":[0.9985551,0.0001854404,0.0002617004,0.0002654993,0.0002998394,0.0004324563],"domain_scores_gemma":[0.9992046,0.0001019231,0.0001858331,0.0002943559,0.00005384714,0.000159424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000680563,0.0007330781,0.0121817,0.00001186446,0.001308018,0.00002219241,0.002806549,0.02565772,0.7907962,0.1254432,0.002528642,0.03783031],"study_design_scores_gemma":[0.006049493,0.00157897,0.301701,0.0008010883,0.00100111,0.00009985861,0.005182646,0.06337025,0.01784298,0.598377,0.001578549,0.002417061],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694847,0.00005025667,0.0292766,0.0006118353,0.0003334489,0.00008147112,0.00003515942,0.00001765158,0.0001089196],"genre_scores_gemma":[0.9934895,0.000002047504,0.00318105,0.00007557236,0.003164742,0.000001482086,0.00002030068,0.00003446566,0.00003080895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7729532,"threshold_uncertainty_score":0.7613413,"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."}}