{"id":"W4307046615","doi":"10.1093/mnras/stac3027","title":"Dynamical cluster masses from photometric surveys","year":2022,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Max-Planck-Gesellschaft; Alexander von Humboldt-Stiftung; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica; Agencia Nacional de Investigación y Desarrollo; Bundesministerium für Bildung und Forschung","keywords":"Cluster (spacecraft); Astrophysics; Astronomy; Physics; Computer science; Geography","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":[0.0008380612,0.0003190995,0.0002365349,0.003530601,0.0002238358,0.0009565331,0.0004923813,0.0001499197,0.001904053],"category_scores_gemma":[0.00487885,0.0001733252,0.0002019227,0.001928708,0.0002846832,0.0007001811,0.001343793,0.0002570189,0.0007468039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000573574,"about_ca_system_score_gemma":0.0001920339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004038221,"about_ca_topic_score_gemma":0.005108189,"domain_scores_codex":[0.9994518,0.0000878328,0.00003698039,0.0001861731,0.0001855417,0.00005170253],"domain_scores_gemma":[0.9973615,0.0003430168,0.0008914275,0.0007350116,0.0004794288,0.0001896045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001164499,0.00002067867,0.9560016,0.00005872938,0.0001447851,0.00003085862,0.0002397735,0.004376568,0.007200744,0.004038445,0.001098069,0.02667334],"study_design_scores_gemma":[0.000006204985,0.00003348228,0.9773389,0.00001266668,0.00003435424,0.00005931285,0.0001487971,0.01065245,0.00554003,0.002513168,0.003642081,0.00001862534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648703,0.0001751445,0.01754379,0.00006504004,0.0000161254,0.00003490837,0.00687727,0.0003711545,0.01004627],"genre_scores_gemma":[0.9917857,0.00005545592,0.003538947,0.00001091213,0.00001342992,0.00001067618,0.003862623,0.00002432664,0.0006979264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004038221,"threshold_uncertainty_score":0.008029401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00931709285163238,"score_gpt":0.2067301810157463,"score_spread":0.1974130881641139,"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."}}