{"id":"W2106625428","doi":"10.1088/1475-7516/2015/10/047","title":"Dissecting the thermal Sunyaev-Zeldovich-gravitational lensing cross-correlation with hydrodynamical simulations","year":2015,"lang":"en","type":"article","venue":"Journal of Cosmology and Astroparticle Physics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto; Simon Fraser University; Canadian Institute for Advanced Research; University of British Columbia","funders":"Science and Technology Facilities Council","keywords":"Virial theorem; Weak gravitational lensing; Baryon; Gravitational lens; Amplitude; Universe; Thermal; Dark matter","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002618995,0.000106646,0.0001439894,0.00002773317,0.0002811296,0.00006487361,0.00008054454,0.00002270441,0.00001111915],"category_scores_gemma":[0.00003008941,0.00007335209,0.00004606436,0.0001381628,0.0002055438,0.0005669669,0.0000244145,0.0002323893,0.000004572012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003277718,"about_ca_system_score_gemma":0.00009583628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001727839,"about_ca_topic_score_gemma":0.000003782765,"domain_scores_codex":[0.9991421,0.00006256655,0.0003239248,0.00008651434,0.0002010865,0.0001838179],"domain_scores_gemma":[0.9987992,0.0001720782,0.0003558299,0.0000928869,0.0004905092,0.00008946328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008188911,0.00006600447,0.8922632,0.000001324937,0.00005101154,5.382278e-8,0.001067632,0.09197558,0.0002892786,0.01399109,0.000007428004,0.0002054858],"study_design_scores_gemma":[0.0008284302,0.0001575611,0.9108561,0.000008392998,0.00004693873,0.0000178523,0.0005478165,0.05220879,0.0002231801,0.03502451,0.000004572697,0.00007590781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886401,0.00001628331,0.01083768,0.0002264927,0.0001411107,0.00006861042,0.000002819753,0.00000723754,0.00005963261],"genre_scores_gemma":[0.9986727,9.034606e-8,0.0008282874,0.000005909113,0.0004521273,0.000001547736,0.00001059629,0.00001013582,0.00001864405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03976678,"threshold_uncertainty_score":0.2991211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356131803453546,"score_gpt":0.2570960617702285,"score_spread":0.243534743735693,"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."}}