{"id":"W2980118937","doi":"10.4006/0836-1398-32.3.307","title":"Wrong math procedure used in nuclear physics for the calculation of magnetic moments of excited Z = N even‐even nuclei","year":2019,"lang":"en","type":"article","venue":"Physics Essays","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Excited state; Table (database); Nuclear data; Nuclear structure; Magnetic moment; Raman spectroscopy; Atomic nucleus; Nuclear physics; Atomic physics; Statistical physics; Quantum mechanics; Neutron; Data mining; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001662988,0.0002186028,0.0004204846,0.0000424706,0.00008647885,0.00002674823,0.0003506602,0.00003574205,0.00004600304],"category_scores_gemma":[0.000009670571,0.0001799316,0.0001990187,0.0004321076,0.00012825,0.0002294601,0.0001815667,0.0001934517,0.00003439999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004091034,"about_ca_system_score_gemma":0.00005769045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001652555,"about_ca_topic_score_gemma":0.000002705775,"domain_scores_codex":[0.9985264,0.00005018794,0.0003469489,0.0002907939,0.0004296218,0.0003560677],"domain_scores_gemma":[0.9988101,0.0002257816,0.000269936,0.0004467906,0.0002066308,0.00004074694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002171654,0.001513211,0.09266192,0.0008254934,0.0004914473,3.418421e-7,0.006600806,0.01180509,0.06305239,0.799973,0.0007129377,0.02214621],"study_design_scores_gemma":[0.007563722,0.0007261154,0.07522992,0.0006306929,0.0002583122,2.260174e-7,0.003949655,0.4457962,0.01073324,0.4533117,0.0007422717,0.001057941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891636,0.00004473656,0.00243463,0.0001232707,0.00009433303,0.001690453,0.0001683833,0.00002280649,0.006257836],"genre_scores_gemma":[0.9992646,0.000005227515,0.0001920015,0.00001113767,0.000183987,0.00007119012,0.00003891365,0.00006438812,0.0001685494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4339911,"threshold_uncertainty_score":0.7337396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977550390223297,"score_gpt":0.2791242265861911,"score_spread":0.2593487226839581,"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."}}