{"id":"W2066246424","doi":"10.1089/rej.2011.1263","title":"<i>In Silico</i> Drug Screen in Mouse Liver Identifies Candidate Calorie Restriction Mimetics","year":2012,"lang":"en","type":"article","venue":"Rejuvenation Research","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Calorie restriction; In silico; Gene; Biology; Computational biology; Drug; Candidate gene; Drug candidate; Genome; Drug discovery; Genetics; Bioinformatics; Pharmacology; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003597462,0.0009225981,0.001065838,0.001086646,0.0002830917,0.0006614578,0.0004175551,0.0003990926,0.003036781],"category_scores_gemma":[0.0003866361,0.000207626,0.001177531,0.0005880461,0.0001909014,0.000176821,0.0002016909,0.0003647917,0.0009308512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003795119,"about_ca_system_score_gemma":0.0006136993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009007179,"about_ca_topic_score_gemma":0.002652443,"domain_scores_codex":[0.9998102,0.00003551562,0.0000181904,0.00004433229,0.00006627047,0.00002548262],"domain_scores_gemma":[0.9998074,0.00006512475,0.00005329382,0.00001633047,0.00002962892,0.00002820417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001088285,0.0002648767,0.01129159,0.0006916125,0.0003824583,0.000394419,0.00001438997,0.0128532,0.9500433,0.0005930163,0.001870919,0.02051201],"study_design_scores_gemma":[0.0002118817,0.002722225,0.01725255,0.00006326352,0.001167518,0.0009619219,0.00003804522,0.02514312,0.93511,0.000597333,0.01666785,0.00006428025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9035587,0.008947972,0.04570763,0.001354721,0.0001331468,0.0006835469,0.02851068,0.003241906,0.007861697],"genre_scores_gemma":[0.8920809,0.009021833,0.05572043,0.001150756,0.00005548719,0.0004889983,0.0362003,0.0002791869,0.005002013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003036781,"threshold_uncertainty_score":0.01015902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03427283835559035,"score_gpt":0.3280290614702218,"score_spread":0.2937562231146315,"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."}}