{"id":"W4389800350","doi":"","title":"PUSK AND PULL FACTORS OF EMIGRATION AMONG PHYSICIAN IN NIGERIA.","year":2023,"lang":"en","type":"other","venue":"PubMed","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Emigration; Remuneration; Spouse; Snowball sampling; Developing country; Family medicine; Demography; Economic growth; Geography; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005057887,0.0002329314,0.000161018,0.0006310759,0.0009215636,0.0006904918,0.0002799872,0.0004012666,0.003302423],"category_scores_gemma":[0.003223517,0.0001615942,0.0001956995,0.0007079186,0.0003985574,0.000478975,0.0005953693,0.0005457966,0.0002404115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003192645,"about_ca_system_score_gemma":0.0008161573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009830724,"about_ca_topic_score_gemma":0.01507533,"domain_scores_codex":[0.9996557,0.00008439316,0.00005048529,0.00003423605,0.00005799339,0.0001171166],"domain_scores_gemma":[0.9983853,0.0003114069,0.0008294177,0.00003518757,0.0001292204,0.0003093751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003425739,0.00006829535,0.9948751,0.00003503625,0.000008085757,0.0002258432,0.001119424,0.0000141615,0.00005667486,0.0000699096,0.0002052832,0.003287836],"study_design_scores_gemma":[0.000002341517,0.000095982,0.9825948,0.0001520609,0.00001207363,0.0006387917,0.01555944,0.0001108309,0.00004927206,0.00008803907,0.0006901592,0.000006129994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981161,0.0005135306,0.00003457465,0.0003856535,0.00001594187,0.000009917298,0.00006537855,0.00000130846,0.0008576541],"genre_scores_gemma":[0.9992326,0.0003591045,0.00005229284,0.00006212623,0.0000096743,0.000005385827,0.00004580376,8.17845e-7,0.0002321464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009830724,"threshold_uncertainty_score":0.01954699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689090506180355,"score_gpt":0.2114333830415073,"score_spread":0.1945424779797037,"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."}}