{"id":"W4362665176","doi":"10.1088/1475-7516/2023/04/010","title":"SimBIG: mock challenge for a forward modeling approach to galaxy clustering","year":2023,"lang":"en","type":"article","venue":"Journal of Cosmology and Astroparticle Physics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Physics; Bispectrum; Galaxy; Cluster analysis; Astrophysics; Cosmology; Spectral density; Statistics; Computer science; Machine learning","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":[0.007416373,0.0007670472,0.0009587809,0.0008710689,0.001334135,0.00166226,0.003521144,0.001842367,0.005095649],"category_scores_gemma":[0.02261507,0.0009553227,0.001274573,0.0006807944,0.001231314,0.001575482,0.002978994,0.002286097,0.001085139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461033,"about_ca_system_score_gemma":0.002314088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01625687,"about_ca_topic_score_gemma":0.01919915,"domain_scores_codex":[0.9982346,0.001247425,0.00004443923,0.000170402,0.0002260466,0.00007707066],"domain_scores_gemma":[0.9875234,0.009106731,0.0004106675,0.001812637,0.0007099017,0.0004367445],"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":[0.0001624362,0.00009291913,0.007043693,0.00006190256,0.0001400019,0.0001180654,0.0001913813,0.9081049,0.0007136876,0.06576156,0.008652264,0.008957152],"study_design_scores_gemma":[0.00002042457,0.000009334807,0.000184599,0.000004859809,0.000003167795,0.000009014661,0.000009404397,0.9828895,0.0002338345,0.01534328,0.001284761,0.000007851711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1464454,0.0002889122,0.8196158,0.002330911,0.0002505449,0.0002136836,0.005661265,0.01546646,0.009726983],"genre_scores_gemma":[0.5729591,0.0001085613,0.4158489,0.0008134017,0.0001429677,0.000516749,0.004528888,0.002846779,0.002234758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01625687,"threshold_uncertainty_score":0.03922194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976598442296811,"score_gpt":0.2562819008382527,"score_spread":0.2265159164152846,"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."}}