{"id":"W2506183496","doi":"10.1103/physrevd.94.103501","title":"CMB lensing beyond the power spectrum: Cosmological constraints from the one-point probability distribution function and peak counts","year":2016,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Simons Foundation; Canada Foundation for Innovation; University of California Berkeley; Columbia University; National Science Foundation","keywords":"Cosmic microwave background; Physics; Spectral density; Astrophysics; Estimator; Weak gravitational lensing; Planck; Statistics; Redshift; Galaxy; Anisotropy; Optics; Mathematics","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":[0.001018494,0.0004132219,0.0004415371,0.0003616518,0.00039584,0.001191211,0.0008322527,0.0005272113,0.001539119],"category_scores_gemma":[0.005157487,0.0003569325,0.000573254,0.0005688954,0.0005802424,0.001158198,0.0005640179,0.0008751312,0.0002214457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397278,"about_ca_system_score_gemma":0.001290926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05971923,"about_ca_topic_score_gemma":0.02726879,"domain_scores_codex":[0.9998196,0.00005584557,0.000006044087,0.00004077808,0.00005162005,0.00002619562],"domain_scores_gemma":[0.9988092,0.0005682788,0.000152803,0.0001557734,0.00014059,0.0001733168],"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":[0.0001248399,0.00004123243,0.04375153,0.00005164253,0.00007056192,0.0001191452,0.0001452295,0.9123943,0.002054092,0.03064548,0.002016846,0.008585151],"study_design_scores_gemma":[0.00001698205,0.000009967174,0.006449838,0.000009342529,0.000006510249,0.00001608462,0.00001333759,0.9871742,0.0005161271,0.004983997,0.0007894556,0.00001431969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8861629,0.0004750279,0.09607062,0.001078559,0.00004732244,0.00003390095,0.001764253,0.0008962004,0.0134712],"genre_scores_gemma":[0.9808272,0.0002304534,0.0166433,0.00009414135,0.0000284533,0.00002395626,0.0010746,0.0002047177,0.0008731851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05971923,"threshold_uncertainty_score":0.1187432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517018573029341,"score_gpt":0.3423376451217631,"score_spread":0.3271674593914697,"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."}}