{"id":"W4403175052","doi":"10.1088/1674-1137/ad8420","title":"curvature-squared corrections on Langevin diffusion coefficients*","year":2024,"lang":"en","type":"article","venue":"Chinese Physics C","topic":"Black Holes and Theoretical Physics","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Physics; Curvature; Diffusion; Langevin equation; Statistical physics; Mathematical physics; Thermodynamics; Geometry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005163635,0.0002291476,0.0001905538,0.00003288281,0.0001511694,0.0001293162,0.0001480369,0.00003668234,0.0002228446],"category_scores_gemma":[0.00000512008,0.0001672153,0.0001996815,0.0004825312,0.00007165419,0.00009359852,0.00006792511,0.0003598602,0.0008075588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002171931,"about_ca_system_score_gemma":0.00002572241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002784533,"about_ca_topic_score_gemma":5.666668e-7,"domain_scores_codex":[0.9990727,0.00002923621,0.0001407391,0.0003248325,0.000189909,0.0002425955],"domain_scores_gemma":[0.999403,0.0001347447,0.000028656,0.0002993144,0.00004186924,0.0000924324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001139829,0.0003305096,0.001504194,0.0000199812,0.00004800472,0.000001684895,0.0002631274,0.0002258046,0.0003614078,0.9651375,0.002424138,0.02967229],"study_design_scores_gemma":[0.0003120944,0.00007322946,0.00119999,0.0001342238,0.00004876625,2.836583e-7,0.00006436057,0.01298781,0.0009430463,0.9734773,0.01041633,0.000342539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7081773,0.000118108,0.117144,0.0003774667,0.002452788,0.0003246036,0.0002472618,0.0003768103,0.1707816],"genre_scores_gemma":[0.9965777,0.000001621556,0.00003125931,0.0000911621,0.001822738,0.00002122954,0.0001939565,0.00004627685,0.001214085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2884004,"threshold_uncertainty_score":0.9999704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00639089115785075,"score_gpt":0.2574316897257177,"score_spread":0.251040798567867,"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."}}