{"id":"W4412638653","doi":"10.1007/s44202-025-00375-y","title":"Gender analysis of future aspirations, resilience and adaptation capability of Nigerian youths in the post COVID-19 era","year":2025,"lang":"en","type":"article","venue":"Discover Psychology","topic":"Resilience and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mastercard Foundation","keywords":"Coronavirus disease 2019 (COVID-19); Adaptation (eye); Resilience (materials science); 2019-20 coronavirus outbreak; Psychological resilience; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Political science; Sociology; Social psychology; Medicine; Virology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007276286,0.000102281,0.0002869794,0.0004098679,0.00006387974,0.000007553272,0.0002380644,0.0001281117,0.0002014473],"category_scores_gemma":[0.00008872292,0.00007631857,0.00007797095,0.001261248,0.0003101829,0.00008656387,0.00002103032,0.0001540726,0.000002893417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003973409,"about_ca_system_score_gemma":0.0001881368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001756951,"about_ca_topic_score_gemma":0.004558784,"domain_scores_codex":[0.9982491,0.0005298932,0.0005103279,0.0003853836,0.0001342501,0.0001910236],"domain_scores_gemma":[0.9989632,0.0002013478,0.0001798993,0.0005635536,0.00004421795,0.00004782835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007301822,0.0006974937,0.8809978,0.0001027276,0.0002256253,0.000006304935,0.0534843,0.0003797896,0.0008332777,0.04686286,0.001035934,0.01464367],"study_design_scores_gemma":[0.0005467533,0.0001541326,0.9698896,0.000004466407,0.0001076122,0.000003044006,0.02734485,0.00006336605,0.00001189259,0.001246081,0.0005698458,0.00005830648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855543,0.0006919108,0.001915816,0.0036914,0.0003236694,0.0003622814,0.000088058,0.000005562889,0.007366988],"genre_scores_gemma":[0.9930844,0.00006737775,0.0001045796,0.006549196,0.00001835507,0.00003765816,0.00005477342,0.000003188912,0.00008051004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08889181,"threshold_uncertainty_score":0.3112181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04826151208821316,"score_gpt":0.4270154369808894,"score_spread":0.3787539248926762,"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."}}