{"id":"W1991841581","doi":"10.1103/physrevlett.100.062501","title":"Shell Model Description of the<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mmultiscripts><mml:mi mathvariant=\"normal\">C</mml:mi><mml:mprescripts/><mml:none/><mml:mn>14</mml:mn></mml:mmultiscripts></mml:math>Dating<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>β</mml:mi></mml:math>Decay with Brown-Rho-Scaled<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>N</mml:mi><mml:mi>N</mml:mi></mml:math>Interactions","year":2008,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Physics; Excited state; Multiplet; Nucleon; Ground state; Particle physics; Atomic physics; Machine learning; Quantum mechanics; Computer science","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.003384873,0.003590125,0.002114527,0.0008884192,0.005532787,0.003118834,0.005839681,0.002420974,0.001849337],"category_scores_gemma":[0.001821798,0.004774562,0.006204163,0.002796512,0.005016264,0.005307464,0.006190475,0.006431217,0.006888726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001639644,"about_ca_system_score_gemma":0.00281074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00384241,"about_ca_topic_score_gemma":0.001129574,"domain_scores_codex":[0.9756731,0.001314002,0.005502286,0.005048268,0.006476056,0.005986223],"domain_scores_gemma":[0.9807912,0.00283474,0.006335611,0.006744733,0.0008155274,0.002478236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00221546,0.002638847,0.00003164351,0.005720471,0.00491704,0.001487921,0.004036968,0.007028616,0.01695401,0.9240816,0.02814201,0.002745443],"study_design_scores_gemma":[0.00420747,0.002369219,0.0001861875,0.009235247,0.005216348,0.001602546,0.002674061,0.884814,0.06883222,0.0008175813,0.01584331,0.00420179],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666525,0.003634371,0.004234005,0.00244797,0.00456571,0.000537461,0.003017203,0.0007718228,0.01413901],"genre_scores_gemma":[0.9653566,0.007202936,0.006391053,0.004335205,0.005335813,0.004270332,0.004379538,0.002215817,0.0005126859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.923264,"threshold_uncertainty_score":0.9995392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674827735199711,"score_gpt":0.2629636832884931,"score_spread":0.236215405936496,"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."}}