{"id":"W2911085615","doi":"10.1051/epjconf/202023915004","title":"International network of nuclear structure and decay data evaluators","year":2020,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Astronomical and nuclear sciences","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; Nuclear Physics; Office of Science; North Carolina State University; U.S. Department of Energy","keywords":"Nuclear data; Atomic energy; Agency (philosophy); Nuclear structure; Data set; Computer science; Data science; Nuclear physics; Physics; Sociology; Artificial intelligence","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":[0.00006536587,0.00005561128,0.0001258644,0.000007886933,0.00002484206,0.00002091566,0.0004406383,0.0000138165,0.002872854],"category_scores_gemma":[0.000006080458,0.00004250903,0.00001837486,0.00005133985,0.0001533377,0.0001218346,0.0002183016,0.00005091121,0.000003364983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.554834e-7,"about_ca_system_score_gemma":0.0001131237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004110652,"about_ca_topic_score_gemma":0.000002017367,"domain_scores_codex":[0.9994956,0.00001701891,0.0001409627,0.0001505859,0.0001221614,0.00007370654],"domain_scores_gemma":[0.9996759,0.00002993429,0.0001047088,0.0001007913,0.00003576212,0.00005288786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006388046,0.00003512459,0.6585168,0.00001333507,0.0001570788,1.637571e-7,0.0005396032,0.0002097161,0.002356067,0.2136676,0.006108662,0.1183319],"study_design_scores_gemma":[0.001898034,0.000656308,0.2703338,0.0001416835,0.0001544902,6.623529e-7,0.005230081,0.2116537,0.005444036,0.01839195,0.4853887,0.0007066263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812741,0.00002784761,0.0001300423,0.001041696,0.0001138664,0.000039683,0.000128411,0.000005221706,0.01723908],"genre_scores_gemma":[0.9986338,0.000003706327,0.001104854,0.00002541608,0.0002047654,1.569839e-7,0.00001807612,0.000002490892,0.000006725498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.47928,"threshold_uncertainty_score":0.9980386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163438398661764,"score_gpt":0.2636342192238095,"score_spread":0.2319998352371918,"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."}}