{"id":"W4387266106","doi":"10.1103/physrevd.108.083002","title":"Collisional flavor instability in dense neutrino gases","year":2023,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nuclear Physics; European Research Council; Physics Division, National Center for Theoretical Sciences; Horizon 2020 Framework Programme; Space Telescope Science Institute; College of Education, University of New Mexico; National Aeronautics and Space Administration; U.S. Department of Energy; Academia Sinica; Association of Canadian Universities for Research in Astronomy; National Science and Technology Council","keywords":"Neutrino; Physics; Particle physics; Neutrino oscillation; Instability; Lepton; Supernova; Flavor; Accretion (finance); Electron neutrino; Electron; Nuclear physics; Astrophysics; Chemistry; Quantum mechanics","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":[0.0001102651,0.0002164479,0.0001628409,0.0003940208,0.0003004103,0.0003841621,0.0002591145,0.0001433599,0.000525206],"category_scores_gemma":[0.00065689,0.0001542502,0.0001153693,0.0001986057,0.0005275632,0.0002672218,0.0005227811,0.0001628775,0.00005542171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002987751,"about_ca_system_score_gemma":0.0001922981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002080749,"about_ca_topic_score_gemma":0.0007901693,"domain_scores_codex":[0.9999373,0.000008502399,0.000002710671,0.00001695643,0.00001545406,0.00001896014],"domain_scores_gemma":[0.999734,0.00007160737,0.0001173324,0.0000186923,0.00002649276,0.00003190335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005735156,0.0001502737,0.09215299,0.0002188491,0.00006224322,0.001131422,0.001179268,0.06878225,0.7285457,0.08289177,0.0005943496,0.02371736],"study_design_scores_gemma":[0.0001453116,0.0004635221,0.1146401,0.00002920382,0.00005693991,0.001675839,0.0004385378,0.6081987,0.2327024,0.03869953,0.002856585,0.0000933505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933175,0.0002173255,0.004962735,0.00002149552,0.000004171621,0.000007756096,0.00001938432,0.00004255362,0.00140714],"genre_scores_gemma":[0.9990207,0.00005566355,0.0006895997,0.000006242157,0.000003307675,0.000003947493,0.00002320652,0.000002856917,0.0001945294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002080749,"threshold_uncertainty_score":0.004137278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0357201231110529,"score_gpt":0.4633328229100666,"score_spread":0.4276126997990137,"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."}}