{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001853712,0.00112802,0.0007108218,0.001739566,0.00126868,0.001275653,0.001895063,0.001278802,0.02250314],"category_scores_gemma":[0.003896066,0.0008676713,0.000569922,0.001643291,0.0008150188,0.001341773,0.001110526,0.001889112,0.01067744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730925,"about_ca_system_score_gemma":0.001315613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003894611,"about_ca_topic_score_gemma":0.01134812,"domain_scores_codex":[0.9983859,0.00009657704,0.00006746743,0.0004915813,0.0008021856,0.0001562567],"domain_scores_gemma":[0.9978097,0.0003691436,0.0002726157,0.0005200921,0.0009617741,0.00006660277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000671258,0.0001269271,0.004651179,0.0003799008,0.0001027775,0.000291347,0.0004951982,0.0008733965,0.9304555,0.006457842,0.01691702,0.03857752],"study_design_scores_gemma":[0.00004701102,0.0002119245,0.006825057,0.00005107039,0.00007395519,0.0001946994,0.0001175961,0.001950577,0.9261599,0.0006552276,0.06367218,0.00004084969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4167945,0.00328573,0.3055544,0.001231721,0.00171786,0.0009201671,0.04054158,0.01487972,0.2150743],"genre_scores_gemma":[0.610519,0.003371855,0.1927114,0.001125465,0.0002415011,0.001179439,0.02987293,0.008554765,0.1524237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02250314,"threshold_uncertainty_score":0.07528049,"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."}}