{"id":"W4416443271","doi":"10.5376/be.2025.15.0001","title":"Key Bioactive Constituents in Loquat and Their Potential Applications in Modern Medicine","year":2025,"lang":"","type":"article","venue":"Biological Evidence","topic":"Nuts composition and effects","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ursolic acid; Health benefits; Modern medicine; Key (lock); Chemical constituents","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005490492,0.0003093659,0.0005436348,0.0003149112,0.0001555004,0.00004539419,0.0002840161,0.0003355305,0.0000617743],"category_scores_gemma":[0.0004644259,0.0002138506,0.00006062956,0.0007572194,0.001152779,0.0001854974,0.0001963544,0.0004590005,0.00001708517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002016338,"about_ca_system_score_gemma":0.00005380631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002523447,"about_ca_topic_score_gemma":0.00007305785,"domain_scores_codex":[0.9975852,0.0006066466,0.0005425335,0.000744165,0.0001187735,0.0004027072],"domain_scores_gemma":[0.9979041,0.001515802,0.000118661,0.0002708369,0.00006588168,0.0001247464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004646149,0.001659954,0.1426703,0.0004495636,0.00009787737,0.00008237943,0.004453473,0.0004031638,0.5874833,0.01385167,0.0004839276,0.2437182],"study_design_scores_gemma":[0.008418917,0.003087146,0.7673728,0.02449101,0.0001608939,0.00006914524,0.006049507,0.07321025,0.0128831,0.09990352,0.002670243,0.001683508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436607,0.02053286,0.0191756,0.01342608,0.0006322475,0.00172915,0.00001499182,0.0000562328,0.0007720775],"genre_scores_gemma":[0.9964708,0.002153143,0.0001257403,0.001010115,0.00007527572,0.0001102442,0.00001088717,0.000005482368,0.00003827687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6247025,"threshold_uncertainty_score":0.8720573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04581472935760846,"score_gpt":0.3333402896168368,"score_spread":0.2875255602592284,"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."}}