{"id":"W2804147508","doi":"10.1103/physrevlett.120.212501","title":"Novel <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mi mathvariant=\"normal\">Δ</mml:mi><mml:mi>J</mml:mi><mml:mo>=</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:math> Sequence in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Ge</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>78</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math>: Possible Evidence for Triaxiality","year":2018,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"Nuclear Physics; Office of Science; U.S. Department of Energy","keywords":"Physics; Energy (signal processing); Spins; Ground state; Atomic physics; Combinatorics; Condensed matter physics; Quantum mechanics; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001142399,0.002245686,0.001040138,0.001973324,0.001343885,0.004625699,0.002754904,0.002377155,0.5231152],"category_scores_gemma":[0.003291077,0.001424366,0.001241943,0.002402279,0.0006817247,0.004205408,0.001776409,0.002841586,0.4374312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002109866,"about_ca_system_score_gemma":0.001561246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01097439,"about_ca_topic_score_gemma":0.01771891,"domain_scores_codex":[0.9991873,0.0001005649,0.00008805056,0.0001422762,0.0003668399,0.0001149923],"domain_scores_gemma":[0.9986176,0.0002990616,0.0001046791,0.0004286961,0.0004186508,0.0001312413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002413806,0.0001057319,0.0002737675,0.0003335641,0.00001997497,0.0002001356,0.0001441789,0.0004034297,0.009302178,0.01343242,0.932245,0.04329834],"study_design_scores_gemma":[0.00006416973,0.00002525854,0.0006154489,0.00006510881,0.00000928911,0.0001864958,0.00006371056,0.001084368,0.009396587,0.005116901,0.9833286,0.00004414146],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00463195,0.000524285,0.1449293,0.005016994,0.003623243,0.0008208558,0.1875961,0.1548033,0.498054],"genre_scores_gemma":[0.01675135,0.001107279,0.08553795,0.002458679,0.0005515732,0.0008033105,0.2600802,0.07714699,0.5555626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5231152,"threshold_uncertainty_score":0.6802183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04124159701949714,"score_gpt":0.2943152407714836,"score_spread":0.2530736437519864,"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."}}