{"id":"W3103764524","doi":"10.48550/arxiv.1805.04637","title":"r-Process Nucleosynthesis: Connecting Rare-Isotope Beam Facilities with the Cosmos","year":2018,"lang":"en","type":"article","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; TRIUMF","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Michigan State University; College of Engineering, Michigan State University; National Aeronautics and Space Administration; U.S. Department of Energy; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Joint Institute for Nuclear Astrophysics - Center for the Evolution of the Elements; National Science Foundation","keywords":"Physics; Nucleosynthesis; r-process; Nuclear astrophysics; Neutron star; Supernova; Context (archaeology); Astrophysics; Kilonova; Neutrino; Astronomy; Stellar nucleosynthesis; Nuclear physics","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":[0.004762954,0.0005292214,0.0007204672,0.001585543,0.0006423367,0.00222189,0.001638712,0.001654818,0.006026057],"category_scores_gemma":[0.002624406,0.0003497442,0.0005345876,0.002001381,0.00198858,0.006619013,0.003542263,0.002071755,0.002043205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471088,"about_ca_system_score_gemma":0.002025596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001153106,"about_ca_topic_score_gemma":0.001061943,"domain_scores_codex":[0.9988899,0.000374736,0.00006309785,0.0002133539,0.0003317812,0.0001271827],"domain_scores_gemma":[0.9986256,0.0005342089,0.000179025,0.0001989057,0.0002397406,0.0002224342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002837981,0.00009475807,0.004258083,0.008099084,0.0001566339,0.0005419356,0.000562662,0.0009907248,0.01265874,0.4481291,0.02742552,0.4967988],"study_design_scores_gemma":[0.00003240026,0.0001478778,0.001273964,0.001382552,0.00004354371,0.0004864715,0.0002346821,0.0003653857,0.006803508,0.0446574,0.9445308,0.00004139671],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01017874,0.8885057,0.02265865,0.01319844,0.003377941,0.00008616447,0.000484773,0.0004713841,0.06103824],"genre_scores_gemma":[0.112921,0.8253108,0.04020539,0.006629718,0.003122945,0.0002344314,0.0009264694,0.0002631287,0.01038611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006026057,"threshold_uncertainty_score":0.02518916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895153401521784,"score_gpt":0.2548388481408687,"score_spread":0.2358873141256509,"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."}}