{"id":"W2081851770","doi":"10.1093/mnras/stu754","title":"CFHTLenS: cosmological constraints from a combination of cosmic shear two-point and three-point correlations","year":2014,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; Perimeter Institute; University of Waterloo; University of Toronto; University of British Columbia","funders":"Science and Technology Facilities Council","keywords":"Physics; Planck; Weak gravitational lensing; Cosmic microwave background; Astrophysics; Omega; Cosmology; Bispectrum; Gravitational lensing formalism; Redshift; Sigma; Gravitational lens; Galaxy; Anisotropy; Spectral density; Quantum mechanics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003297273,0.0001885656,0.0003483766,0.00001622619,0.0001870991,0.00002998467,0.0002688305,0.00007012241,0.0002348088],"category_scores_gemma":[0.00003744308,0.0001495315,0.0002454638,0.00008030129,0.0007368936,0.0001553602,0.0001896975,0.0002318739,0.00001174456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007570987,"about_ca_system_score_gemma":0.00004648142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008775488,"about_ca_topic_score_gemma":0.00002038471,"domain_scores_codex":[0.9986778,0.000116136,0.0005369539,0.0002434153,0.0001875092,0.0002381648],"domain_scores_gemma":[0.9987198,0.0003173105,0.0004644426,0.0002903868,0.0001214965,0.00008656202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001926864,0.0001835751,0.9259802,0.000009345262,0.0001108604,5.365591e-10,0.0004664356,0.06687419,0.00002306232,0.005721859,0.0002752628,0.0003359331],"study_design_scores_gemma":[0.0008128047,0.0000568435,0.6446157,0.00002111808,0.00005842727,6.002363e-9,0.0003252032,0.3504019,0.0000860754,0.003521184,0.00001152529,0.00008930265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995809,0.00002354286,0.002758974,0.0003433937,0.0001517416,0.000316126,0.0001611037,0.00001994434,0.0004161785],"genre_scores_gemma":[0.995848,6.263421e-8,0.003923824,0.000006035641,0.00009567659,0.00001532924,0.00007791579,0.00001240261,0.00002072912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2835277,"threshold_uncertainty_score":0.6097719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007642083351896377,"score_gpt":0.1952280804914377,"score_spread":0.1875859971395413,"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."}}