{"id":"W2546009648","doi":"10.1103/physrevd.95.043501","title":"Nonlinear <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>E</mml:mi></mml:math>-mode clustering in Lagrangian space","year":2017,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Canadian Institute for Theoretical Astrophysics; Perimeter Institute; University of Toronto","funders":"China Postdoctoral Science Foundation; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Cluster analysis; Space (punctuation); Mathematics; Lagrangian; Computer science; Pure mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002379888,0.0002008743,0.000203306,0.0002869378,0.0003392377,0.0004529518,0.0004949241,0.0003316917,0.007993747],"category_scores_gemma":[0.000987384,0.0001321322,0.0002729456,0.0003982102,0.0004121867,0.0005326332,0.0003938058,0.0003891256,0.001320024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004578361,"about_ca_system_score_gemma":0.0004998082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009903266,"about_ca_topic_score_gemma":0.01104815,"domain_scores_codex":[0.9999501,0.00001401042,0.000001543481,0.000008730169,0.00001648056,0.000009195928],"domain_scores_gemma":[0.999757,0.00009153694,0.00004785937,0.00005287541,0.00003056871,0.00002016824],"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":[0.0001086845,0.00009635238,0.01172871,0.0001769262,0.00006947001,0.0001717187,0.0001865436,0.7489641,0.01234994,0.1774524,0.01677598,0.03191926],"study_design_scores_gemma":[0.00001526435,0.00001021272,0.001670444,0.000006919123,0.000003294025,0.0000204207,0.00002171481,0.98207,0.002001051,0.01163592,0.002533806,0.00001099091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6075277,0.0004443688,0.2864485,0.001676902,0.0001540842,0.00007608964,0.003293071,0.002624722,0.09775457],"genre_scores_gemma":[0.9068655,0.0002980626,0.08124024,0.0002248502,0.00003264453,0.00007288744,0.001598033,0.0008074975,0.008860264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009903266,"threshold_uncertainty_score":0.0267418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150468747646897,"score_gpt":0.3492622895517544,"score_spread":0.3342154147870647,"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."}}