{"id":"W2809170714","doi":"10.1103/physrevlett.121.131101","title":"Calorimetric Dark Matter Detection with Galactic Center Gas Clouds","year":2018,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; Arthur B. McDonald-Canadian Astroparticle Physics Research Institute; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Institut Périmètre de physique théorique; High Energy Physics; Ministero dello Sviluppo Economico; Kavli Institute for Theoretical Physics, University of California, Santa Barbara; Industry Canada; National Science Foundation; Government of Canada; CERN; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Aspen Center for Physics","keywords":"Physics; Galactic Center; Dark matter; Milky Way; Astrophysics; Scalar field dark matter; Light dark matter; Hot dark matter; Baryonic dark matter; Astronomy; Galaxy; Cosmology; Dark energy","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":[0.000486416,0.0002698658,0.0002433602,0.0007415659,0.0003869994,0.0007546559,0.0004977871,0.0003228696,0.001205557],"category_scores_gemma":[0.0009286326,0.0001750574,0.0002013673,0.0008184969,0.0003753121,0.0004161673,0.001015105,0.0003084583,0.0002012673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005328153,"about_ca_system_score_gemma":0.0001518308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003822199,"about_ca_topic_score_gemma":0.006547048,"domain_scores_codex":[0.9997811,0.00003277206,0.000004119126,0.00008781264,0.00003998488,0.00005420877],"domain_scores_gemma":[0.9994683,0.00009361703,0.0002044172,0.0000947801,0.00006409095,0.00007479376],"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":[0.0004703872,0.0000953883,0.889262,0.000071989,0.0003715473,0.0003296206,0.0002999845,0.008651464,0.0618044,0.007445612,0.002102179,0.02909545],"study_design_scores_gemma":[0.0001001256,0.0002272965,0.8602213,0.00005278705,0.0003256618,0.0007043898,0.0004228048,0.0581175,0.06298025,0.006660651,0.01011067,0.00007656519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863421,0.0006288065,0.005597974,0.0001592436,0.00002354228,0.00001824069,0.0004667546,0.0001482695,0.00661516],"genre_scores_gemma":[0.9973571,0.00006368795,0.002085635,0.00004948564,0.00001675458,0.000004578077,0.0002195086,0.00001242296,0.0001908496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003822199,"threshold_uncertainty_score":0.00759989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00864948153937091,"score_gpt":0.2471137826410618,"score_spread":0.2384643011016909,"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."}}