{"id":"W2308024972","doi":"10.1093/mnras/stw2013","title":"RCSLenS: The Red Cluster Sequence Lensing Survey","year":2016,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Herzberg Institute of Astrophysics; University of British Columbia","funders":"Institut national des sciences de l'Univers; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Bundesministerium für Bildung und Forschung; Smithsonian Astrophysical Observatory; Deutsche Forschungsgemeinschaft","keywords":"Physics; Cluster (spacecraft); Weak gravitational lensing; Sequence (biology); Astrophysics; Astronomy; Red shift; Galaxy; Genetics; Redshift","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001044566,0.0006188992,0.0003795038,0.003727523,0.0004867864,0.000711706,0.0008096911,0.0002584035,0.009750845],"category_scores_gemma":[0.001118371,0.0002274772,0.0003257894,0.003125227,0.0001668986,0.0004661888,0.001074527,0.0003629407,0.008188003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000825296,"about_ca_system_score_gemma":0.000997236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05457782,"about_ca_topic_score_gemma":0.08114917,"domain_scores_codex":[0.9992759,0.00009961928,0.00003871474,0.000170425,0.0002814639,0.0001338563],"domain_scores_gemma":[0.999016,0.00006687977,0.000270014,0.0001714408,0.0002411499,0.0002345097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004442819,0.0001644008,0.2751967,0.0003757984,0.0002637985,0.0003335241,0.0005451937,0.005372157,0.005074827,0.007408909,0.579351,0.1254694],"study_design_scores_gemma":[0.0001122536,0.0001039489,0.5301995,0.00009258904,0.000080882,0.0003494025,0.000259159,0.008469787,0.002242249,0.001830149,0.4561743,0.00008569736],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2909168,0.001524752,0.0126665,0.0006730889,0.0001582176,0.0004771865,0.6386264,0.0054129,0.04954413],"genre_scores_gemma":[0.2450947,0.0009404011,0.03176307,0.0005828855,0.0002673107,0.0003855917,0.6969398,0.001044323,0.02298194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05457782,"threshold_uncertainty_score":0.1085203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674155204799448,"score_gpt":0.2164856797234952,"score_spread":0.1997441276755007,"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."}}