{"id":"W2079600475","doi":"10.1051/0004-6361:20041099","title":"Joint cosmological parameters forecast from CFHTLS-cosmic shear and CMB data","year":2004,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Cosmic microwave background; Physics; CMB cold spot; Spectral density; COSMIC cancer database; Weak gravitational lensing; Spectral index; Astrophysics; South Pole Telescope; Principal component analysis; Cosmic background radiation; Markov chain Monte Carlo; Monte Carlo method; Data set; Statistical physics; Computational physics; Statistics; Astronomy; Optics; Galaxy; Redshift; Spectral line; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003051026,0.000412855,0.0003765639,0.002009524,0.0003197503,0.001093273,0.0003789456,0.0003823054,0.001516372],"category_scores_gemma":[0.01155846,0.0003160826,0.0005673367,0.001748417,0.0003719217,0.0009358115,0.000597285,0.0004885477,0.0003968982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418726,"about_ca_system_score_gemma":0.0007873665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05842972,"about_ca_topic_score_gemma":0.04553301,"domain_scores_codex":[0.9991447,0.0002100434,0.00003411411,0.0002278767,0.0002803555,0.0001029305],"domain_scores_gemma":[0.9959291,0.001630004,0.000562888,0.0007273516,0.0009209427,0.0002297794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004792467,0.00003471251,0.7950223,0.00005615926,0.0002411979,0.000113479,0.0001883533,0.1597093,0.004449606,0.0120195,0.002269928,0.02541636],"study_design_scores_gemma":[0.00004402114,0.00007413129,0.7788672,0.00003127359,0.0001024141,0.0001404638,0.0001354449,0.2076558,0.003306225,0.006501338,0.003062704,0.00007900602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779247,0.0002047246,0.0112359,0.0001647965,0.000009619715,0.00002212025,0.007353159,0.0002321141,0.002852728],"genre_scores_gemma":[0.9808911,0.00008607081,0.007803321,0.00001994337,0.00001001889,0.0000185623,0.01066703,0.00004834507,0.0004555623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05842972,"threshold_uncertainty_score":0.1161792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600280738912272,"score_gpt":0.2394370825901115,"score_spread":0.2134342752009888,"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."}}