{"id":"W4402027010","doi":"10.1103/physrevd.110.032018","title":"Model-independent extraction of form factors and <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mo stretchy=\"false\">|</mml:mo><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mi>c</mml:mi><mml:mi>b</mml:mi></mml:mrow></mml:msub><mml:mo stretchy=\"false\">|</mml:mo></mml:math> in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mover accent=\"true\"><mml:mi>B</mml:mi><mml:mo stretchy=\"false\">¯</mml:mo></mml:mover><mml:mo stretchy=\"false\">→</mml:mo><mml:mi>D</mml:mi><mml:msup><mml:mo>ℓ</mml:mo><mml:mo>−</mml:mo></mml:msup><mml:msub><mml:mover accent=\"true\"><mml:mi>ν</mml:mi><mml:mo stretchy=\"false\">¯</mml:mo></mml:mover><mml:mo>ℓ</mml:mo></mml:msub></mml:math> with hadronic tagging at <i>BABAR</i>","year":2024,"lang":"lv","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"SLAC National Accelerator Laboratory; CERN; Institut National de Physique Nucléaire et de Physique des Particules; University of Victoria","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":[],"consensus_categories":[],"category_scores_codex":[0.002230645,0.004126274,0.001513515,0.004569659,0.001608142,0.006273338,0.002406945,0.002122738,0.06343008],"category_scores_gemma":[0.01732064,0.001861669,0.005680763,0.003582173,0.001067057,0.00621445,0.003563794,0.003181381,0.05319788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002817182,"about_ca_system_score_gemma":0.005310766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01151894,"about_ca_topic_score_gemma":0.01552066,"domain_scores_codex":[0.9969932,0.0004495186,0.0002687848,0.0007991526,0.00125614,0.0002331809],"domain_scores_gemma":[0.9949424,0.00131889,0.0002871037,0.001437694,0.001879789,0.0001340482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000907546,0.00032516,0.008007851,0.002479775,0.0002679249,0.001022375,0.001581372,0.01762395,0.02221015,0.081717,0.2901235,0.5737334],"study_design_scores_gemma":[0.0001756827,0.0002525369,0.004257693,0.0005561847,0.0004959322,0.001231628,0.001742322,0.2043945,0.06214488,0.07332787,0.6511429,0.0002779864],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01030686,0.0007104818,0.8165771,0.001012724,0.0006641931,0.0008457957,0.03654051,0.09161828,0.04172405],"genre_scores_gemma":[0.1134394,0.001261154,0.7170119,0.0005278859,0.0002055428,0.00110499,0.09845223,0.02339789,0.04459902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06343008,"threshold_uncertainty_score":0.2121947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754874946834012,"score_gpt":0.2891331359103672,"score_spread":0.271584386442027,"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."}}