{"id":"W4387946971","doi":"10.48550/arxiv.2310.15250","title":"Galaxy Clustering Analysis with SimBIG and the Wavelet Scattering Transform","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"European Commission","keywords":"Physics; Galaxy; Algorithm; Mathematics; Astrophysics","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":[0.002266235,0.0005456416,0.0007218132,0.002522372,0.0006491161,0.001059327,0.001735944,0.0007865198,0.002756897],"category_scores_gemma":[0.006707633,0.0004891425,0.001278671,0.001548486,0.000772196,0.001017506,0.001306326,0.001066936,0.001289719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148859,"about_ca_system_score_gemma":0.001075487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01911958,"about_ca_topic_score_gemma":0.01893483,"domain_scores_codex":[0.9994552,0.0002144723,0.00002199522,0.0001198502,0.0001328232,0.00005560768],"domain_scores_gemma":[0.9977874,0.0007527428,0.0002098275,0.0007602961,0.0003479135,0.00014183],"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":[0.000150484,0.0001075546,0.034246,0.00007168231,0.0002032662,0.0001778091,0.0002859622,0.8327104,0.003132048,0.05792607,0.01079216,0.06019657],"study_design_scores_gemma":[0.000007922024,0.000005705062,0.001980449,0.000003903228,0.000004158592,0.00001315458,0.00001471524,0.988494,0.0004324167,0.008401832,0.0006341797,0.000007669491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4100798,0.0003322809,0.571037,0.0006837793,0.00006362046,0.0001283864,0.004333197,0.009194092,0.004147848],"genre_scores_gemma":[0.7910414,0.0001216526,0.1954951,0.0002022215,0.00006511906,0.00012739,0.009839037,0.001053817,0.002054086],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01911958,"threshold_uncertainty_score":0.03801662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891965420989483,"score_gpt":0.1665842071482487,"score_spread":0.1376645529383539,"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."}}