{"id":"W2491855816","doi":"10.1103/physrevlett.117.051101","title":"Constraining<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>f</mml:mi><mml:mo stretchy=\"false\">(</mml:mo><mml:mi>R</mml:mi><mml:mo stretchy=\"false\">)</mml:mo></mml:math>Gravity Theory Using Weak Lensing Peak Statistics from the Canada-France-Hawii-Telescope Lensing Survey","year":2016,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Astronomical Observatories, Chinese Academy of Sciences; Science and Technology Facilities Council; Shanghai Normal University; Science and Technology Commission of Shanghai Municipality; British Infection Society; China Postdoctoral Science Foundation; Chinese Academy of Sciences; National Natural Science Foundation of China; Durham University","keywords":"Physics; Galaxy; Astrophysics; Weak gravitational lensing; Halo; Algorithm; Statistics; Redshift; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001086879,0.0004592052,0.0003053262,0.001224914,0.0005254922,0.001784739,0.0005907278,0.0005118028,0.01136368],"category_scores_gemma":[0.005607143,0.0001939321,0.0004199483,0.001222564,0.0002701789,0.0008801243,0.0007706379,0.0005358321,0.003253462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426326,"about_ca_system_score_gemma":0.0010681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04284244,"about_ca_topic_score_gemma":0.0477626,"domain_scores_codex":[0.9996878,0.00007077167,0.00002311658,0.00006565358,0.00008514764,0.00006763011],"domain_scores_gemma":[0.9987504,0.0004935255,0.0003135787,0.0002374364,0.0001261778,0.00007878989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003287668,0.0001479153,0.4457946,0.0003294513,0.000372647,0.0006037421,0.0007283145,0.04900356,0.02308554,0.190335,0.106981,0.1822895],"study_design_scores_gemma":[0.00007091105,0.00006574212,0.3746352,0.0002463502,0.0001445969,0.0004062891,0.0007793446,0.2758509,0.04531688,0.1379198,0.1644087,0.0001552034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6571833,0.001230331,0.2124249,0.0045198,0.0002917322,0.00007943928,0.02792832,0.003065727,0.09327643],"genre_scores_gemma":[0.9382558,0.0005295157,0.04107476,0.0005202388,0.0001972855,0.00004470926,0.01291021,0.0006926697,0.005774904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04284244,"threshold_uncertainty_score":0.08518618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968637782896403,"score_gpt":0.2583429498150029,"score_spread":0.2386565719860389,"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."}}