{"id":"W4321122263","doi":"10.5334/aogh.4025","title":"Physician-Suggested Innovative Methods for Health System Resilience amidst Workforce Emigration and Sociopolitical Unrest in Nigeria: A Survey-Based Study","year":2023,"lang":"en","type":"article","venue":"Annals of Global Health","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Department of Family and Community Medicine, University of Toronto; University of Toronto","keywords":"Unrest; Emigration; Snowball sampling; Health care; Context (archaeology); Psychological resilience; Workforce; Medicine; Socioeconomic status; Remuneration; Nursing; Political science; Psychology; Economic growth; Politics; Environmental health; Geography; Population; Social psychology; Economics","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":[0.0100165,0.0003379313,0.0003259768,0.001454886,0.002647927,0.001849397,0.0008917493,0.001012595,0.003389787],"category_scores_gemma":[0.01560473,0.0005552396,0.0005009152,0.001214414,0.001761622,0.002229701,0.002231544,0.001432132,0.0003141219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002339596,"about_ca_system_score_gemma":0.005760244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004385415,"about_ca_topic_score_gemma":0.01198201,"domain_scores_codex":[0.9963541,0.00248305,0.0002730042,0.0001602604,0.000267462,0.0004620853],"domain_scores_gemma":[0.9905655,0.005120398,0.002092786,0.0003600217,0.001080253,0.0007810668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001208796,0.002381614,0.3885919,0.001666082,0.00005511992,0.001305684,0.5235988,0.0001843593,0.0007321592,0.002292136,0.003089744,0.07598136],"study_design_scores_gemma":[0.00003722157,0.0008331648,0.1975108,0.001255522,0.00004704062,0.0005232865,0.7880897,0.0005424237,0.0003779098,0.0007518415,0.009989581,0.00004157176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948499,0.0004238945,0.0007388225,0.001482521,0.00002995564,0.0005646233,0.0001030573,0.000005216175,0.001801926],"genre_scores_gemma":[0.9941452,0.0009131304,0.002680831,0.0007410266,0.00001821728,0.000723091,0.00005967609,0.000003321321,0.0007156068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0100165,"threshold_uncertainty_score":0.05297297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1572844605906011,"score_gpt":0.5856554888306476,"score_spread":0.4283710282400465,"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."}}