{"id":"W1995886371","doi":"10.1103/physrevd.69.083514","title":"Weak lensing and CMB: Parameter forecasts including a running spectral index","year":2004,"lang":"en","type":"article","venue":"Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Centre for Supercomputing Applications; National Aeronautics and Space Administration; National Science Foundation","keywords":"Cosmic microwave background; Physics; Weak gravitational lensing; Astrophysics; Spectral density; Spectral index; Galaxy; Gravitational lensing formalism; Dark energy; COSMIC cancer database; Cosmology; Gravitational lens; Matter power spectrum; Redshift; Astronomy; Spectral line; Statistics; Quantum mechanics","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":[0.003094082,0.0004237644,0.0005070959,0.0005927114,0.0004961733,0.00116883,0.001310915,0.0007934002,0.001309454],"category_scores_gemma":[0.01630538,0.0004393181,0.0005662477,0.0007808268,0.0009281907,0.002397418,0.0005349342,0.001215555,0.0002006669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154679,"about_ca_system_score_gemma":0.0009292818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04650584,"about_ca_topic_score_gemma":0.02220098,"domain_scores_codex":[0.9996365,0.0001890576,0.00001157819,0.00007268092,0.00004936586,0.00004085204],"domain_scores_gemma":[0.9941143,0.003978412,0.0007392728,0.0005424122,0.0004167088,0.0002089297],"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":[0.00007773827,0.00002334705,0.02345193,0.0000120316,0.00003263879,0.00003842961,0.0000448868,0.9610609,0.0002746154,0.0111981,0.0002405723,0.003544732],"study_design_scores_gemma":[0.00001930472,0.0000226622,0.003683894,0.000006408727,0.000009995766,0.00001021648,0.00001789127,0.9878283,0.0002571354,0.007951525,0.0001765309,0.00001621393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9325827,0.0001743103,0.06295758,0.0007125271,0.00002055536,0.00001607125,0.000309298,0.0001809647,0.003046026],"genre_scores_gemma":[0.9902276,0.00008932599,0.008885738,0.00005431258,0.00001460221,0.00001287225,0.0002698423,0.0000412228,0.0004044428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04650584,"threshold_uncertainty_score":0.09247029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359183556896885,"score_gpt":0.3109253613807342,"score_spread":0.2873335258117654,"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."}}