{"id":"W3134205625","doi":"10.1103/physrevlett.126.091601","title":"Searching for Solar Axions Using Data from the Sudbury Neutrino Observatory","year":2021,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Chinese Government Scholarship; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Axion; Physics; Particle physics; Nucleon; Neutrino; Nuclear physics; Solar neutrino; Neutron; Parameter space; Neutron star; Dark matter; Astrophysics; Neutrino oscillation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005851634,0.0003545989,0.0003522639,0.001954485,0.0005846089,0.0007703989,0.0004583301,0.0003286601,0.002453431],"category_scores_gemma":[0.002156321,0.0001535595,0.0003448631,0.001648498,0.0002279689,0.0004867825,0.001069535,0.0004012542,0.0009414878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00050571,"about_ca_system_score_gemma":0.0007678092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04495824,"about_ca_topic_score_gemma":0.1040338,"domain_scores_codex":[0.9996352,0.00005641612,0.00001639053,0.0001234406,0.0000925976,0.00007591548],"domain_scores_gemma":[0.9990804,0.0001577483,0.0002641528,0.0001715583,0.0001582335,0.0001678191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006292689,0.0001552821,0.8882236,0.0002715334,0.0004717794,0.0005257245,0.0002844289,0.004325732,0.021629,0.004874386,0.0298959,0.04871339],"study_design_scores_gemma":[0.0001157535,0.0001092757,0.8736399,0.0001084797,0.0001903038,0.0004046664,0.0004638177,0.01546854,0.008552306,0.004538683,0.09633168,0.00007660197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9089906,0.001556823,0.00270504,0.0006251927,0.0000476135,0.00004158273,0.07559527,0.0002569253,0.01018105],"genre_scores_gemma":[0.8795723,0.0006640452,0.006327827,0.0001490301,0.00008922007,0.0000363283,0.1117239,0.0000738503,0.001363358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04495824,"threshold_uncertainty_score":0.08939308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08638718123451562,"score_gpt":0.3337197011238751,"score_spread":0.2473325198893595,"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."}}