{"id":"W1965268597","doi":"10.1103/physrevlett.110.021301","title":"Do Stochastic Inhomogeneities Affect Dark-Energy Precision Measurements?","year":2013,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; Perimeter Institute","funders":"","keywords":"Physics; Redshift; Dark energy; Astrophysics; Covariant transformation; Invariant (physics); Range (aeronautics); Cosmology; Statistical physics; Mathematical physics; Galaxy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003504084,0.0004771129,0.0004480503,0.0007440899,0.0004200409,0.001242806,0.0007309773,0.0006350835,0.0007675564],"category_scores_gemma":[0.02555257,0.000437299,0.0003662226,0.0007312723,0.001564829,0.001753795,0.001070043,0.0006891543,0.0002257495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007087992,"about_ca_system_score_gemma":0.000406836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001415586,"about_ca_topic_score_gemma":0.001803777,"domain_scores_codex":[0.9986703,0.0004584805,0.00006249875,0.0003408262,0.0003202303,0.0001475947],"domain_scores_gemma":[0.9867676,0.00735196,0.002500966,0.002261432,0.0008195034,0.0002985175],"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":[0.001025298,0.0001732832,0.2373007,0.0004854802,0.0009089641,0.001173403,0.0007931336,0.2717285,0.1333429,0.2497788,0.001697086,0.1015924],"study_design_scores_gemma":[0.00004522854,0.0003012125,0.2240612,0.00008370386,0.0002544449,0.000803518,0.0002099594,0.548085,0.07458929,0.148506,0.002849274,0.000211092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7479702,0.001107588,0.2434793,0.001022353,0.00009430661,0.00003452269,0.000348495,0.0004385696,0.005504595],"genre_scores_gemma":[0.9949163,0.0002307538,0.004348179,0.00006018459,0.00004090088,0.000007288898,0.00008049488,0.00005209829,0.0002638173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003504084,"threshold_uncertainty_score":0.01853156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092581232699136,"score_gpt":0.2892044714964681,"score_spread":0.2682786591694767,"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."}}