{"id":"W2900536852","doi":"10.18632/aging.101646","title":"Aging and drug discovery","year":2018,"lang":"en","type":"article","venue":"Aging","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Instituto de Salud Carlos III; Novo Nordisk; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Novo Nordisk Fonden; Fondation pour la Recherche Médicale; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Leids Universitair Medisch Centrum; European Commission; Deutsche Forschungsgemeinschaft; Strong; National Institute on Aging; Glenn Foundation for Medical Research; National Science Foundation","keywords":"Transformative learning; Drug discovery; Psychological intervention; Longevity; Process (computing); Successful aging; Engineering ethics; Political science; Medicine; Gerontology; Psychology; Computer science; Biology; Engineering; Bioinformatics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005679155,0.001065719,0.001517772,0.002703113,0.0009411639,0.004504283,0.001246452,0.003960477,0.02154218],"category_scores_gemma":[0.008666112,0.0003616971,0.000911042,0.001845164,0.002347958,0.004651121,0.002883226,0.005340583,0.009009974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003110989,"about_ca_system_score_gemma":0.004154142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380843,"about_ca_topic_score_gemma":0.00181652,"domain_scores_codex":[0.9970205,0.00118456,0.000205668,0.0004200273,0.0009070215,0.0002622508],"domain_scores_gemma":[0.9952717,0.001979811,0.0003571103,0.0005155766,0.001125895,0.0007498327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001633686,0.0001838744,0.0009531991,0.002131133,0.0002058132,0.0003305418,0.0001844727,0.001048074,0.001487172,0.1661763,0.2766367,0.5504993],"study_design_scores_gemma":[0.00005702582,0.0001603458,0.0003209452,0.001021664,0.00004546482,0.0002842183,0.0000840554,0.0003757104,0.0003839277,0.05482077,0.9424243,0.00002155711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002349658,0.6961184,0.01043458,0.1829689,0.01696948,0.0001796045,0.000816338,0.000423662,0.08973949],"genre_scores_gemma":[0.04481624,0.7856078,0.0127884,0.07480192,0.02037543,0.0004054038,0.001328073,0.000125754,0.05975091],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02154218,"threshold_uncertainty_score":0.07206583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006699696094744107,"score_gpt":0.2302485548086328,"score_spread":0.2235488587138887,"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."}}