{"id":"W2807527208","doi":"10.1103/physrevlett.120.232501","title":"Precision Mass Measurements of <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Cr</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>58</mml:mn><mml:mo>–</mml:mo><mml:mn>63</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math>: Nuclear Collectivity Towards the <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn>40</mml:mn></mml:math> Island of Inversion","year":2018,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Astronomical and nuclear sciences","field":"Physics and Astronomy","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"H2020 European Research Council; Institut National de Physique Nucléaire et de Physique des Particules; National Research Council Canada; Science and Technology Facilities Council; European Commission; Natural Sciences and Engineering Research Council of Canada; Seventh Framework Programme; Nuclear Physics; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.004933734,0.002521263,0.00131991,0.0009186766,0.004069169,0.002893222,0.006251196,0.00304567,0.09775862],"category_scores_gemma":[0.002853126,0.00403851,0.005658023,0.002878903,0.005759179,0.003838638,0.005681324,0.004289575,0.004882187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007555846,"about_ca_system_score_gemma":0.002710199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004555236,"about_ca_topic_score_gemma":0.001426351,"domain_scores_codex":[0.9774742,0.001603484,0.00467742,0.004544104,0.006459159,0.005241659],"domain_scores_gemma":[0.9830589,0.002850168,0.005961997,0.004977406,0.0006219138,0.00252961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003554058,0.001472833,0.00003859368,0.003431114,0.003916528,0.0007156174,0.003380794,0.001639715,0.01712003,0.6661156,0.2921923,0.006422805],"study_design_scores_gemma":[0.004021778,0.003960799,0.0002491809,0.005751922,0.004632339,0.0007311999,0.002734211,0.2256391,0.7296476,0.0003129812,0.01864976,0.003669095],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8415876,0.002974197,0.001839711,0.002316789,0.005383162,0.0002348364,0.001920547,0.0004702666,0.1432729],"genre_scores_gemma":[0.9766769,0.003238135,0.004263499,0.004146574,0.005004885,0.002141254,0.002533224,0.001656723,0.0003387482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7125276,"threshold_uncertainty_score":0.9991255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488460885418385,"score_gpt":0.2503404202109498,"score_spread":0.225455811356766,"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."}}