{"id":"W4225292548","doi":"10.1016/j.isci.2022.104199","title":"Resilience integrates concepts in aging research","year":2022,"lang":"en","type":"review","venue":"iScience","topic":"Resilience and Mental Health","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Institute of General Medical Sciences; National Cancer Institute; Institut National Du Cancer; Alliance Nationale pour les Sciences de la Vie et de la Santé; Santa Fe Institute; Glenn Foundation for Medical Research; National Institute on Aging; Biomedical Laboratory Research and Development, VA Office of Research and Development; National Institutes of Health; National Science Foundation; American Foundation for Aging Research; James S. McDonnell Foundation; U.S. Department of Veterans Affairs","keywords":"Resilience (materials science); Cognitive science; Data science; Engineering ethics; Psychology; Computer science; Engineering; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003758701,0.0002507225,0.0007379573,0.0008457134,0.0004029776,0.0000716605,0.001941437,0.0001450115,0.002492596],"category_scores_gemma":[0.0002257313,0.0001995899,0.000127614,0.003626588,0.0008782044,0.0001824826,0.0004777108,0.001670658,0.0009949428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006514616,"about_ca_system_score_gemma":0.001939749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001483909,"about_ca_topic_score_gemma":0.0001729092,"domain_scores_codex":[0.9950161,0.001374577,0.0005915763,0.001097122,0.0008589048,0.001061704],"domain_scores_gemma":[0.9979351,0.0009060319,0.0001688745,0.0007740032,0.00003371471,0.0001823045],"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":[0.000002194943,0.00008813183,0.00006432629,0.0008206439,0.000001440971,0.0000879006,0.001173143,3.037838e-7,4.379488e-7,0.003556663,0.001946858,0.992258],"study_design_scores_gemma":[0.00005203851,0.0001221079,0.00004721553,0.003731971,0.000005237318,0.000101158,0.004299204,0.000001713293,6.836202e-7,0.0002066035,0.9912392,0.0001928734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001408219,0.9035216,0.000002866023,0.00003177925,0.001217214,0.0007938911,0.000009459802,0.00002795125,0.09425445],"genre_scores_gemma":[0.0003778521,0.9856727,0.000049724,0.0001285757,0.00007794567,0.000658811,0.000009019724,0.00002181558,0.01300358],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9920651,"threshold_uncertainty_score":0.9997829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2798952905657833,"score_gpt":0.6098378187840877,"score_spread":0.3299425282183044,"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."}}