{"id":"W2979727097","doi":"10.1051/0004-6361/201935454","title":"Strong lensing models of eight CLASH clusters from extensive spectroscopy: Accurate total mass reconstructions in the cores","year":2019,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Istituto Nazionale di Astrofisica; Centro de Astrofísica y Tecnologías Afines; Financiadora de Estudos e Projetos; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Ministério da Ciência, Tecnologia e Inovação; Academia Sinica; Division of Chemistry; Ministry of Science and Technology, Taiwan; Villum Fonden; Canadian Institute for Advanced Research","keywords":"Redshift; Galaxy cluster; Galaxy; Cluster (spacecraft); Weak gravitational lensing; Mass distribution; Strong gravitational lensing; Gravitational lens","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":[0.0005420056,0.0005916979,0.0003512368,0.001018636,0.0003484664,0.000857291,0.001083183,0.0003555223,0.001066139],"category_scores_gemma":[0.001602368,0.0005341736,0.0006314649,0.0004458489,0.0005294903,0.000531977,0.001101548,0.0002604791,0.0001935454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009873351,"about_ca_system_score_gemma":0.0006712439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01575704,"about_ca_topic_score_gemma":0.01268876,"domain_scores_codex":[0.999827,0.00002960419,0.000008769361,0.00005399363,0.00003719574,0.00004347788],"domain_scores_gemma":[0.9994394,0.0001142722,0.0001425507,0.0001090528,0.00008171932,0.0001129557],"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":[0.0006647414,0.00008239907,0.2620929,0.0001072856,0.0002509948,0.0006426583,0.0006651196,0.6934677,0.01722619,0.01028987,0.0006607362,0.01384946],"study_design_scores_gemma":[0.00003953746,0.0001005328,0.1151456,0.00001711424,0.00005946113,0.0001360959,0.000279687,0.876182,0.002374025,0.004757793,0.0008702069,0.00003788569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967628,0.00004341773,0.002536962,0.00001220098,6.751994e-7,0.000007918133,0.000140849,0.00001840505,0.0004767378],"genre_scores_gemma":[0.9973399,0.00003901871,0.001741329,0.000005708021,0.000002389725,0.000009485453,0.0005409418,0.00001723787,0.0003039932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01575704,"threshold_uncertainty_score":0.0313307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009429921895887098,"score_gpt":0.2035206936859023,"score_spread":0.1940907717900152,"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."}}