{"id":"W4401758833","doi":"10.1038/s41550-024-02344-2","title":"Cosmological constraints from non-Gaussian and nonlinear galaxy clustering using the SimBIG inference framework","year":2024,"lang":"en","type":"article","venue":"Nature Astronomy","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Inference; Cluster analysis; Nonlinear system; Gaussian; Galaxy; Physics; Statistical physics; Astrophysics; Computer science; Artificial intelligence; Quantum mechanics","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":[0.004735856,0.0007864723,0.001821791,0.001358662,0.001182673,0.002632234,0.003818776,0.001348729,0.007735095],"category_scores_gemma":[0.02855964,0.001326617,0.001252348,0.001549862,0.001727427,0.00396593,0.003088981,0.002769262,0.0008510144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599345,"about_ca_system_score_gemma":0.002606375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02652301,"about_ca_topic_score_gemma":0.04609377,"domain_scores_codex":[0.9987366,0.0006085983,0.00005066643,0.0002753684,0.0002084799,0.0001202511],"domain_scores_gemma":[0.9824699,0.01412847,0.0006620741,0.001571503,0.0007327127,0.0004354034],"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":[0.0003874249,0.0001041719,0.009257353,0.0001568678,0.000323341,0.0002164235,0.000156103,0.7432398,0.0006074673,0.1893957,0.005773028,0.0503823],"study_design_scores_gemma":[0.00002468331,0.000005942463,0.0006494311,0.000008794083,0.00001443319,0.00001579575,0.00001065897,0.9045622,0.0001422963,0.09410045,0.0004562298,0.000009035891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09382686,0.0006844065,0.8920265,0.00199936,0.0001077725,0.00005520745,0.001539861,0.002334078,0.007425865],"genre_scores_gemma":[0.8419247,0.0003220297,0.1483546,0.0006319518,0.0002705776,0.00007496049,0.002697137,0.0005813108,0.005142767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02652301,"threshold_uncertainty_score":0.0527373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009896797646930272,"score_gpt":0.2958836708153964,"score_spread":0.2859868731684662,"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."}}