{"id":"W171444699","doi":"","title":"[Migration patterns of health professionals].","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globalization; Population; Economic growth; Emigration; Internal migration; Quarter (Canadian coin); Developing country; Political science; Development economics; Medicine; Geography; Economics; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00164065,0.000125604,0.0003336657,0.00009390136,0.0003853939,0.000002489853,0.0001670894,0.0001451321,0.0004053383],"category_scores_gemma":[0.0001542509,0.0001057888,0.0000500587,0.0001921787,0.0000196294,0.0001479011,0.00007613925,0.0003381163,0.0001524802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000340561,"about_ca_system_score_gemma":0.000234243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001159952,"about_ca_topic_score_gemma":0.00173505,"domain_scores_codex":[0.9969178,0.0006747243,0.0009899616,0.0002208394,0.0003464974,0.0008501281],"domain_scores_gemma":[0.9984884,0.0002240972,0.0005949789,0.0003059745,0.0001516167,0.0002349341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004645609,0.0002785365,0.524955,0.0006688882,0.00001315938,3.899934e-7,0.003561892,0.00001488278,0.00000167836,0.003622675,0.06415151,0.4026849],"study_design_scores_gemma":[0.0004880784,0.00002723823,0.7408661,0.0002674338,0.000003992893,4.24633e-7,0.001837836,0.00004153468,0.0000381883,0.000155087,0.256182,0.00009209845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9323685,0.00114417,0.0002786062,0.05253299,0.0009944757,0.003965381,0.00005171737,0.0001833856,0.008480744],"genre_scores_gemma":[0.9794004,0.00015546,0.0003651365,0.007151708,0.0004210088,0.002570354,0.00004521645,0.00002107028,0.009869631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4025928,"threshold_uncertainty_score":0.443817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07123034805817069,"score_gpt":0.4216678491297947,"score_spread":0.350437501071624,"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."}}