{"id":"W4321853847","doi":"10.48550/arxiv.2302.11621","title":"Isolating the linear signal when making redshift space distortion measurements","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":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Innovation, Science and Economic Development Canada; Institut Périmètre de physique théorique; Alliance de recherche numérique du Canada; Government of Canada; Ministry of Colleges and Universities","keywords":"Physics; Planck; Cosmic variance; Cosmic microwave background; Redshift; Linear scale; Redshift-space distortions; Distortion (music); Galaxy; Astrophysics; Space (punctuation); Statistical physics; Redshift survey; Optics; Computer science","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":[0.003253873,0.0005265112,0.0004133969,0.0007611474,0.0004620564,0.001001933,0.001069017,0.000581566,0.002108427],"category_scores_gemma":[0.0184637,0.0004822132,0.0005543967,0.001089177,0.0009917925,0.001822648,0.001366288,0.001285723,0.0006594876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009299168,"about_ca_system_score_gemma":0.0005467231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007883887,"about_ca_topic_score_gemma":0.01047487,"domain_scores_codex":[0.9989675,0.0004156644,0.00003938771,0.0002725957,0.0002120934,0.00009275575],"domain_scores_gemma":[0.9928141,0.004158105,0.0008288099,0.001562822,0.0004251719,0.0002109997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004849896,0.0001469708,0.5768853,0.0002832523,0.0005132178,0.0002733025,0.001107352,0.2641348,0.02661348,0.04517572,0.005464945,0.0789167],"study_design_scores_gemma":[0.00005282767,0.0001350346,0.235021,0.00006834772,0.00008409791,0.0003315716,0.0002936876,0.6837544,0.02832459,0.04347466,0.00834646,0.0001134163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7579871,0.0003317388,0.228623,0.0008531234,0.00008669701,0.00005779421,0.001181656,0.001756129,0.009122862],"genre_scores_gemma":[0.9768999,0.00006839203,0.02127056,0.0001085551,0.00001603051,0.00002845066,0.0007433005,0.0003417239,0.0005231286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007883887,"threshold_uncertainty_score":0.01720834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0967158976248168,"score_gpt":0.2028482208764601,"score_spread":0.1061323232516433,"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."}}