{"id":"W3046438816","doi":"10.1016/j.mad.2020.111403","title":"The potential for complex computational models of aging","year":2020,"lang":"en","type":"review","venue":"Mechanisms of Ageing and Development","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computational model; Parameterized complexity; Perspective (graphical); Healthy aging; Computer science; Process (computing); Successful aging; Biology; Cognitive psychology; Psychology; Gerontology; Artificial intelligence; Medicine; Algorithm","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":[0.001170706,0.001255162,0.001588625,0.0006905184,0.0002487397,0.001251846,0.002512488,0.001541571,0.003276676],"category_scores_gemma":[0.002676813,0.0004402685,0.000980126,0.0006770649,0.001300523,0.0027535,0.001316551,0.00261498,0.00081017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002224,"about_ca_system_score_gemma":0.001190061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002336644,"about_ca_topic_score_gemma":0.002335428,"domain_scores_codex":[0.999795,0.00009821987,0.00001114958,0.00003755711,0.00004589056,0.00001212013],"domain_scores_gemma":[0.9988384,0.0009223218,0.00004253519,0.0000689242,0.00008188043,0.00004595788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008891676,0.00008197116,0.0007207294,0.003646688,0.0006201423,0.0001713677,0.00009997056,0.2576168,0.001158108,0.5066026,0.02371024,0.2054824],"study_design_scores_gemma":[0.00005012198,0.00005426221,0.0004195393,0.0007352503,0.0001626911,0.0002130126,0.00003686132,0.1378766,0.0004129621,0.7345124,0.1254677,0.0000586617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007579905,0.606474,0.3495848,0.01273904,0.002155207,0.00004110928,0.0005889962,0.0008017593,0.02003519],"genre_scores_gemma":[0.1396923,0.7357537,0.1087659,0.002978349,0.003251625,0.0003857434,0.001393747,0.0002660428,0.007512438],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003276676,"threshold_uncertainty_score":0.01096159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03802004791273959,"score_gpt":0.2778272927064018,"score_spread":0.2398072447936622,"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."}}