{"id":"W2317444538","doi":"10.1103/physrevc.86.041305","title":"Improving systematic predictions of<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>β</mml:mi></mml:math>-delayed neutron emission probabilities","year":2012,"lang":"en","type":"article","venue":"Physical Review C","topic":"Astronomical and nuclear sciences","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"U.S. Department of Energy","keywords":"Neutron; Physics; Energy (signal processing); BETA (programming language); Neutron emission; Nuclear physics; Particle physics; Neutron temperature; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01024822,0.001875994,0.001556248,0.003035595,0.001179592,0.001784836,0.004351367,0.001874691,0.002700099],"category_scores_gemma":[0.03127604,0.001443113,0.001677414,0.001686587,0.001175538,0.00416702,0.002223497,0.00206133,0.001477626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714324,"about_ca_system_score_gemma":0.003193202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006952306,"about_ca_topic_score_gemma":0.01441184,"domain_scores_codex":[0.9975184,0.001293101,0.0001299739,0.0004902505,0.0004448451,0.0001234434],"domain_scores_gemma":[0.9766539,0.0154765,0.001900656,0.003957615,0.001721535,0.0002898657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002432432,0.0003942284,0.04366302,0.001084028,0.0006365998,0.0004227201,0.0003968971,0.6961347,0.00974205,0.1303983,0.007503687,0.1093806],"study_design_scores_gemma":[0.00003806538,0.00004527374,0.003588094,0.0001315901,0.00005806648,0.00005629252,0.00003148631,0.9234558,0.004056039,0.06581029,0.002669474,0.00005953976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06600855,0.002224223,0.9194457,0.0007255272,0.0001373169,0.0001791763,0.00201677,0.003092694,0.00617012],"genre_scores_gemma":[0.7003689,0.003025886,0.2848723,0.0008863257,0.0002637739,0.0008183027,0.005228464,0.001701915,0.002834169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01024822,"threshold_uncertainty_score":0.05419838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463593028997729,"score_gpt":0.2507689767696168,"score_spread":0.2361330464796396,"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."}}