{"id":"W4393335936","doi":"10.48550/arxiv.2403.19307","title":"A Deep Redshift Survey of the Perseus Cluster: Spatial Distribution and Kinematics of Galaxies","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Smithsonian Astrophysical Observatory; University of Colorado Boulder; Instituto de Astrofísica de Canarias; Office of Science; Max-Planck-Institut für Astronomie; Universidad Nacional Autónoma de México; Korea Astronomy and Space Science Institute; Ministério da Ciência, Tecnologia e Inovação; University of Oxford; York University; Leibniz-Gemeinschaft; University of Notre Dame; Ohio State University; National Research Foundation; Carnegie Mellon University; Alfred P. Sloan Foundation; University of Washington; Johns Hopkins University; University of Utah; Carnegie Institution of Washington; Lawrence Berkeley National Laboratory; Ministry of Science and ICT, South Korea; U.S. Department of Energy; Smithsonian Institution; National Research Foundation of Korea; New Mexico State University; University of Portsmouth; Vanderbilt University; Yale University","keywords":"Redshift survey; Astrophysics; Galaxy; Redshift; Physics; Astronomy; Kinematics; Spatial distribution; Cluster (spacecraft); Geography; Computer science; Remote sensing; Classical mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001629538,0.0002808566,0.0001749114,0.00162403,0.0001905783,0.0002462873,0.0002095891,0.0001537395,0.0008619489],"category_scores_gemma":[0.0003849321,0.0001224236,0.0001096011,0.001390627,0.000228208,0.0002035346,0.0006007359,0.0001537903,0.0004382697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003817087,"about_ca_system_score_gemma":0.0002398604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01979757,"about_ca_topic_score_gemma":0.02664746,"domain_scores_codex":[0.999896,0.00001349691,0.000003398205,0.00003891978,0.00002698894,0.00002107268],"domain_scores_gemma":[0.9996359,0.00003804661,0.0001152242,0.00004738988,0.00004426036,0.000119224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001409992,0.00007124407,0.9595427,0.00002453541,0.00005948397,0.0002924158,0.000551057,0.002759168,0.008474369,0.0005482032,0.002245261,0.02529046],"study_design_scores_gemma":[0.000008039506,0.00002865731,0.9964407,0.000002468334,0.000006152205,0.00008392439,0.0001373497,0.001454949,0.0004218271,0.0001051062,0.00130646,0.000004296316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980861,0.00006043706,0.0002382908,0.00002439699,0.000001270131,0.000004019762,0.0007909961,0.00004515902,0.0007493547],"genre_scores_gemma":[0.9951469,0.00009981912,0.001065916,0.00001689739,0.000009394901,0.000005907731,0.002977524,0.00001538421,0.0006623252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01979757,"threshold_uncertainty_score":0.03936464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705155559522419,"score_gpt":0.2058234395870007,"score_spread":0.1687718839917765,"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."}}