{"id":"W4404931324","doi":"10.1017/s0714980824000370","title":"“ <i>I have an image of myself, it’s strong and resilient”:</i> Assets Supporting Resilience of Older Adults and Their Communities during the COVID-19 Pandemic","year":2024,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Resilience and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Thematic analysis; Reflexivity; Pandemic; Resilience (materials science); Psychological resilience; Community resilience; Coronavirus disease 2019 (COVID-19); Adaptation (eye); Psychology; Value (mathematics); 2019-20 coronavirus outbreak; Gerontology; Sociology; Qualitative research; Social psychology; Medicine; Resource (disambiguation); Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00401432,0.0002538488,0.0002709732,0.0006370261,0.00852847,0.003426709,0.0007093489,0.0009134227,0.001995363],"category_scores_gemma":[0.00529616,0.0001704269,0.0002721728,0.0005372889,0.006740113,0.002290553,0.004873354,0.002550422,0.0001777987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006590328,"about_ca_system_score_gemma":0.01377478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1907985,"about_ca_topic_score_gemma":0.3814396,"domain_scores_codex":[0.998528,0.0006857236,0.00005230492,0.00006717782,0.0002182633,0.0004484901],"domain_scores_gemma":[0.9975534,0.0005074324,0.0003611143,0.00009120879,0.0004679259,0.001018904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002544849,0.00004564363,0.01991722,0.000130432,0.00001566115,0.0006225197,0.9453858,0.00003987625,0.0004107527,0.003244819,0.009326462,0.02083558],"study_design_scores_gemma":[0.000004928248,0.00003362939,0.02414214,0.0003086076,0.00001660509,0.0003445149,0.941236,0.00004406211,0.0001360465,0.001011785,0.03269856,0.00002321139],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9356867,0.001653009,0.001157975,0.02865293,0.000280915,0.00009125924,0.0001179057,0.00002755109,0.03233175],"genre_scores_gemma":[0.9942685,0.0009294552,0.0005934854,0.002005948,0.00003007252,0.00002955703,0.00003315019,0.000007764618,0.002101907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1907985,"threshold_uncertainty_score":0.3793758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157195913049214,"score_gpt":0.3181500575753421,"score_spread":0.29657809844485,"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."}}