{"id":"W2808939453","doi":"10.1103/physrevd.99.015007","title":"Combined explanations of the <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>b</mml:mi><mml:mo stretchy=\"false\">→</mml:mo><mml:mi>s</mml:mi><mml:msup><mml:mi>μ</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>μ</mml:mi><mml:mo>−</mml:mo></mml:msup></mml:math> and <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>b</mml:mi><mml:mo stretchy=\"false\">→</mml:mo><mml:mi>c</mml:mi><mml:msup><mml:mi>τ</mml:mi><mml:mo>−</mml:mo></mml:msup><mml:mover accent=\"true\"><mml:mi>ν</mml:mi><mml:mo stretchy=\"false\">¯</mml:mo></mml:mover></mml:math> anomalies: A general model analysis","year":2019,"lang":"lv","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.005895872,0.005916816,0.003472848,0.001973236,0.007585639,0.005855777,0.01065012,0.006602017,0.028429],"category_scores_gemma":[0.005121469,0.009433826,0.01302501,0.006988868,0.008577271,0.006371976,0.01119205,0.008603083,0.008803463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002184074,"about_ca_system_score_gemma":0.00494086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006215909,"about_ca_topic_score_gemma":0.001825125,"domain_scores_codex":[0.9569991,0.002965672,0.009594728,0.009169198,0.01086734,0.010404],"domain_scores_gemma":[0.9666721,0.006808673,0.01019693,0.009035612,0.001449699,0.005837047],"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":[0.004727851,0.003863164,0.0001650645,0.0068247,0.01189053,0.001889446,0.003982126,0.006365655,0.007529847,0.8538408,0.09208957,0.006831269],"study_design_scores_gemma":[0.009504582,0.007433276,0.0001905885,0.009551019,0.0180141,0.002491093,0.006012677,0.1856154,0.7065279,0.03333229,0.01074322,0.01058384],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215484,0.01053887,0.001620386,0.002972985,0.005306554,0.0006621159,0.004726462,0.001185987,0.05143824],"genre_scores_gemma":[0.9494989,0.01512217,0.003176652,0.004479192,0.008049999,0.008331718,0.007333666,0.003670275,0.0003374617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8205085,"threshold_uncertainty_score":0.9968593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679607698103151,"score_gpt":0.2883733174241719,"score_spread":0.2715772404431404,"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."}}