{"id":"W2106430287","doi":"10.1016/j.cpc.2013.05.020","title":"Computational nuclear quantum many-body problem: The UNEDF project","year":2013,"lang":"en","type":"article","venue":"Computer Physics Communications","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"TRIUMF","funders":"","keywords":"Computer science; Focus (optics); Range (aeronautics); Computational science; Quantum computer; Quantum; Scale (ratio); Theoretical computer science; Data science; Physics; Aerospace engineering; Engineering; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001351816,0.0002308265,0.0002249367,0.00004554867,0.001151296,0.0003624776,0.001726628,0.00002366082,0.0001208927],"category_scores_gemma":[0.000002276295,0.0001797045,0.0001709314,0.0004513581,0.0004929468,0.0003955956,0.001865089,0.0005090834,0.00122323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003731309,"about_ca_system_score_gemma":0.0001024517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005427215,"about_ca_topic_score_gemma":7.041039e-7,"domain_scores_codex":[0.9984887,0.0002395377,0.0002980187,0.0002767935,0.0003210998,0.0003758121],"domain_scores_gemma":[0.9972872,0.0003879066,0.0001507011,0.001709574,0.0003948392,0.00006985298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001393046,0.0003653735,0.0004490284,0.000009055501,0.0001900409,8.396052e-8,0.001367822,0.0009265976,0.00008144949,0.9418446,0.03598768,0.01877691],"study_design_scores_gemma":[0.0002304066,0.00003568301,0.002371313,0.00002196879,0.00001830215,4.805304e-7,0.0003741955,0.706426,0.000004129926,0.27208,0.01823545,0.0002020366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01957256,0.0002053946,0.824274,0.02675563,0.0003532121,0.00529784,0.0001901437,0.0006560427,0.1226951],"genre_scores_gemma":[0.9415181,0.00001592218,0.05670219,0.0002981095,0.000544778,0.0003538255,0.0001936411,0.00006454171,0.0003088385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9219456,"threshold_uncertainty_score":0.9995545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03988153520304951,"score_gpt":0.3103636424440803,"score_spread":0.2704821072410308,"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."}}