{"id":"W2759610996","doi":"10.1093/mnras/stx3241","title":"Galaxy Cluster Mass Reconstruction Project – III. The impact of dynamical substructure on cluster mass estimates","year":2017,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Regional Development Fund; ARC Centre of Excellence for All-Sky Astrophysics; Eesti Teadusagentuur; Science and Technology Facilities Council; National Science Foundation","keywords":"Substructure; Physics; Galaxy cluster; Cluster (spacecraft); Astrophysics; Galaxy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006600535,0.0007486252,0.0005100233,0.001580637,0.0005369078,0.001117619,0.00170028,0.0005917837,0.002280516],"category_scores_gemma":[0.01133979,0.000489599,0.0006086152,0.001849826,0.0004554401,0.000676653,0.00239747,0.0008499353,0.001884087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009706061,"about_ca_system_score_gemma":0.00123016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03051598,"about_ca_topic_score_gemma":0.02530785,"domain_scores_codex":[0.9975695,0.0008156032,0.00008971503,0.0004453745,0.0008267885,0.0002529666],"domain_scores_gemma":[0.9948288,0.0008464849,0.000591084,0.002316969,0.001036314,0.0003804218],"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":[0.00244615,0.0003769886,0.655782,0.0004109573,0.001400339,0.0003228155,0.00118268,0.05728555,0.009169715,0.01951238,0.1138879,0.1382224],"study_design_scores_gemma":[0.000497707,0.0003755307,0.7582952,0.0001383714,0.0001914567,0.0003979912,0.0003564341,0.1301843,0.02275416,0.005955243,0.08071995,0.0001335147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7422956,0.0007960513,0.04437565,0.001446261,0.0001704467,0.0005449507,0.1793132,0.01292113,0.01813662],"genre_scores_gemma":[0.6098181,0.0002390781,0.08408772,0.0003394993,0.0000664132,0.0005115945,0.2957607,0.002402628,0.006774241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03051598,"threshold_uncertainty_score":0.06067669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007332576489646647,"score_gpt":0.2299223528733844,"score_spread":0.2225897763837377,"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."}}