{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002423631,0.002968373,0.001332377,0.002550745,0.002045324,0.006316241,0.003859741,0.004219415,0.5708629],"category_scores_gemma":[0.01300093,0.001534007,0.002157334,0.002543209,0.001237671,0.006999118,0.003934613,0.004360827,0.3623105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004115888,"about_ca_system_score_gemma":0.002574469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01845382,"about_ca_topic_score_gemma":0.02958914,"domain_scores_codex":[0.9977666,0.000574839,0.0002218871,0.0003198985,0.0008917028,0.000225063],"domain_scores_gemma":[0.993992,0.002227749,0.0002065482,0.000900061,0.002335253,0.0003383903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001056224,0.00004116374,0.00015446,0.0001868615,0.000006806124,0.0001670455,0.000367435,0.0005309988,0.0008660906,0.01488057,0.9580055,0.02468741],"study_design_scores_gemma":[0.00003003128,0.00001130859,0.0002312187,0.00007449718,0.000006310413,0.00008693047,0.0001607104,0.001689481,0.00124437,0.003967772,0.992465,0.00003239609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002101576,0.000725497,0.292606,0.01678183,0.009099312,0.0009510027,0.05601117,0.1087344,0.5129892],"genre_scores_gemma":[0.01967502,0.0009938016,0.1116771,0.00545847,0.00114407,0.0009726105,0.05449332,0.05944909,0.7461365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5708629,"threshold_uncertainty_score":0.6121119,"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."}}