{"id":"W7096939833","doi":"","title":"Financial Disclosures: None reported. Support: None reported.","year":2015,"lang":"en","type":"article","venue":"","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lagging; Workforce; Health care; Economic shortage; Physician supply; Medical care; Medical tourism; MEDLINE; Workforce development","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002904953,0.0005432842,0.001123997,0.0008238507,0.001150916,0.002187367,0.002303018,0.003098557,0.375324],"category_scores_gemma":[0.02796449,0.0003075823,0.0004564547,0.0007844503,0.0008017817,0.001885421,0.001716123,0.001734031,0.07982118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547247,"about_ca_system_score_gemma":0.004323731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00195163,"about_ca_topic_score_gemma":0.002952446,"domain_scores_codex":[0.996654,0.0008223223,0.0003008346,0.0003718933,0.001361239,0.0004897157],"domain_scores_gemma":[0.9842003,0.002753591,0.001681816,0.000692083,0.00658807,0.004084038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003113074,0.000102324,0.004905331,0.0008379791,0.00004991969,0.003406527,0.0003797734,0.0000990878,0.0002367904,0.004940396,0.9014248,0.08330579],"study_design_scores_gemma":[0.0002109497,0.000184459,0.004864925,0.0030896,0.00007221052,0.006408767,0.001552053,0.0005173496,0.0004701981,0.002718958,0.9798675,0.0000431535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01741357,0.03382502,0.00262539,0.2573706,0.04668495,0.001369616,0.01451714,0.0006826792,0.6255111],"genre_scores_gemma":[0.2382061,0.03234764,0.004693307,0.04628631,0.02483479,0.001496647,0.00937396,0.0003799453,0.6423813],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.624676,"threshold_uncertainty_score":0.8910245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264024879342784,"score_gpt":0.4594994308942983,"score_spread":0.3330969429600199,"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."}}