{"id":"W2518101086","doi":"10.1103/physrevlett.117.211801","title":"Codecaying Dark Matter","year":2016,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Cornell University; National Science Foundation","keywords":"Physics; Dark matter; Mixed dark matter; Warm dark matter; Scalar field dark matter; Light dark matter; Dark fluid; Hot dark matter; Annihilation; Parameter space; Particle physics; Astrophysics; Cosmology; Dark energy; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006763556,0.000155663,0.000266281,0.0000145388,0.00004463162,0.00002021578,0.0002101207,0.000001060342,0.0004821106],"category_scores_gemma":[0.000001793919,0.00009447947,0.0001702008,0.00007987986,0.00004786617,0.0001510621,0.00006477309,0.00006760063,0.003028022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000180574,"about_ca_system_score_gemma":0.000008420448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007528958,"about_ca_topic_score_gemma":3.295797e-8,"domain_scores_codex":[0.9991348,0.00004274722,0.0001667361,0.0002382372,0.0001444211,0.0002730023],"domain_scores_gemma":[0.9994569,0.00006967052,0.00006429988,0.0003114373,0.00001370437,0.00008400549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004323611,0.0001271774,0.02024566,0.000247439,0.00008600717,0.000001944889,0.00005865123,9.2865e-7,0.04652929,0.0019083,0.8655168,0.06527346],"study_design_scores_gemma":[0.003561626,0.0001136187,0.03585766,0.01346985,0.0007637694,0.000008002495,0.00004634417,0.00003571795,0.002906293,0.3823655,0.5572468,0.003624805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5887198,0.001837679,0.0313022,0.1291975,0.0004657495,0.0009198412,0.0001234925,0.000166193,0.2472675],"genre_scores_gemma":[0.89153,0.00004194113,0.00004911702,0.1078899,0.0002741239,0.00005436225,0.000005432536,0.00001877243,0.0001363492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3804572,"threshold_uncertainty_score":0.9977483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108175846667557,"score_gpt":0.261278198087546,"score_spread":0.2501964396208705,"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."}}