{"id":"W3110443572","doi":"10.1007/978-3-030-53114-0_8","title":"Correction to: Developing Nucleon Self-Energies to Generate the Ingredients for the Description of Nuclear Reactions","year":2020,"lang":"en","type":"book-chapter","venue":"Springer theses","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"TRIUMF","funders":"","keywords":"Nucleon; Nuclear physics; Computer science; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001149961,0.0001942484,0.0001884307,0.00004956535,0.0004281755,0.0000985672,0.0002742916,0.00003634946,0.00004557005],"category_scores_gemma":[0.00001388888,0.0001353157,0.0001636775,0.00008368897,0.00003079863,0.00007192914,0.0001453689,0.0001742866,0.0001116264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005578273,"about_ca_system_score_gemma":0.00004199798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001378385,"about_ca_topic_score_gemma":0.000006632206,"domain_scores_codex":[0.9991978,0.00001027335,0.0002361583,0.0002325548,0.0001394905,0.0001837421],"domain_scores_gemma":[0.9991584,0.0001420431,0.0001845465,0.0003205226,0.0001277559,0.00006676003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002217459,0.00002474537,0.00004396614,0.00002164868,0.0002876206,3.61933e-8,0.001381773,0.0005222817,0.004189101,0.9589796,0.0197203,0.01480673],"study_design_scores_gemma":[0.0000586027,0.00003904062,0.000418589,0.0001439145,0.000122373,2.22286e-7,0.0004441019,0.0005343679,0.0015509,0.01021772,0.9862512,0.0002190161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04309768,0.0002410733,0.05639168,0.01427521,0.009732774,0.007313254,0.0005997636,0.0005983807,0.8677502],"genre_scores_gemma":[0.9632552,0.00003389626,0.00311681,0.0004521782,0.001966766,0.0001997299,0.00002317905,0.0001409673,0.03081129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9665309,"threshold_uncertainty_score":0.5518014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03652513436324244,"score_gpt":0.2442739864464305,"score_spread":0.2077488520831881,"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."}}