{"id":"W4280517973","doi":"10.1101/2022.05.12.491721","title":"Identification of novel senolytic compounds from natural food sources","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Natural Antidiabetic Agents Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disease; Biology; Computational biology; Medicine; Chemistry; Pharmacology; Bioinformatics; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00009184716,0.0003686847,0.0003693945,0.0007627957,0.0001833363,0.0002852619,0.0001618765,0.0002412613,0.003374944],"category_scores_gemma":[0.0001265665,0.0001111216,0.0004614293,0.0004493527,0.0001157671,0.0001999759,0.0002031628,0.0003770929,0.0006303149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002239175,"about_ca_system_score_gemma":0.0003326794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045065,"about_ca_topic_score_gemma":0.001783929,"domain_scores_codex":[0.9999661,0.000004286249,0.000002445636,0.000006941582,0.00001202265,0.000008104912],"domain_scores_gemma":[0.9999431,0.000009148725,0.00001240015,0.000004645838,0.00001909356,0.00001163137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006984937,0.000244375,0.001835095,0.0009429675,0.0001073993,0.0004087715,0.00004155085,0.001360016,0.9650791,0.0003796998,0.0007748302,0.02812772],"study_design_scores_gemma":[0.0002453376,0.001921062,0.01090011,0.0001274354,0.0002128323,0.0008651743,0.0001042284,0.002442612,0.9589728,0.0003502127,0.02382204,0.00003608467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671001,0.0173327,0.00450909,0.000249922,0.00005267818,0.0002256579,0.00442617,0.0001242042,0.00597951],"genre_scores_gemma":[0.9742542,0.007599342,0.008075933,0.0002030043,0.00001929817,0.00008405292,0.004396415,0.00002560655,0.005342238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003374944,"threshold_uncertainty_score":0.01129025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917803101581817,"score_gpt":0.2382230169607673,"score_spread":0.2190449859449492,"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."}}