{"id":"W3217292613","doi":"10.2196/30831","title":"Medical Brain Drain From Southeastern Europe: Using Digital Demography to Forecast Health Worker Emigration","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emigration; Pandemic; Geography; Demography; Test (biology); Demographic economics; Coronavirus disease 2019 (COVID-19); Medicine; Sociology; Economics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008131515,0.000239124,0.0002146183,0.003911757,0.0002122256,0.001164829,0.0002514185,0.0003134664,0.0007153852],"category_scores_gemma":[0.003919834,0.00008539136,0.0003567039,0.002920537,0.0002540568,0.0009010157,0.0006229892,0.0002524035,0.0001421205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007398429,"about_ca_system_score_gemma":0.0005579516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07030097,"about_ca_topic_score_gemma":0.05081904,"domain_scores_codex":[0.9997585,0.00007894828,0.0000342641,0.00004788008,0.00004190857,0.00003842],"domain_scores_gemma":[0.9987609,0.0004024313,0.0003415662,0.00009430212,0.0002849506,0.0001158889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001025395,0.00003485828,0.96264,0.00009579847,0.0000749458,0.0001873239,0.0003969086,0.01073498,0.0001175628,0.0008305953,0.001896389,0.02288813],"study_design_scores_gemma":[0.0000152292,0.00007296518,0.9214601,0.0002657133,0.00005964082,0.0002638415,0.00313577,0.06642706,0.0003874369,0.0008710004,0.007019219,0.00002196706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892578,0.0006178436,0.001211452,0.0004617131,0.00003353917,0.00002609994,0.00525092,0.00004867139,0.003092033],"genre_scores_gemma":[0.9946636,0.0003785472,0.001403421,0.00003397268,0.0000183016,0.00001341092,0.003322491,0.000005546956,0.0001606911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07030097,"threshold_uncertainty_score":0.1397836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05652189820961138,"score_gpt":0.4334917091585154,"score_spread":0.376969810948904,"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."}}