{"id":"W2795320866","doi":"10.1136/bmj.k641","title":"EU doctors make up 9% of the UK medical workforce","year":2018,"lang":"en","type":"article","venue":"BMJ","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Quarter (Canadian coin); Family medicine; Register (sociolinguistics); Medicine; State (computer science); Eu countries; Political science; Nursing; Medical education; European union; Business; Law; Geography","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":[0.001744514,0.0005206877,0.0005922754,0.001359249,0.000891551,0.001660984,0.0006511075,0.002343341,0.05123674],"category_scores_gemma":[0.004669821,0.0004261229,0.0007645448,0.001715821,0.0005366476,0.001406762,0.00325073,0.001269476,0.02547014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008767893,"about_ca_system_score_gemma":0.002157567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01068354,"about_ca_topic_score_gemma":0.01087937,"domain_scores_codex":[0.9975642,0.0004347086,0.0002222325,0.0003038567,0.0006701397,0.0008049101],"domain_scores_gemma":[0.9979473,0.0003267858,0.0004704306,0.000144137,0.0003165809,0.0007948842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004071526,0.0001050621,0.03395972,0.00112495,0.00007576393,0.0007166268,0.001006168,0.0001403121,0.001390059,0.004418036,0.748203,0.2084531],"study_design_scores_gemma":[0.00005865458,0.00008406691,0.07041427,0.001129331,0.00001749644,0.0006986124,0.001106604,0.00006531247,0.0002795363,0.000414638,0.9257103,0.00002113991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2497295,0.1309679,0.003692083,0.1912419,0.03468605,0.0003155624,0.04009188,0.001217693,0.3480573],"genre_scores_gemma":[0.4813136,0.05147809,0.003277506,0.08982678,0.007970739,0.0004119414,0.02372739,0.0004154817,0.3415785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05123674,"threshold_uncertainty_score":0.171404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07380474730966095,"score_gpt":0.4815869410125474,"score_spread":0.4077821937028864,"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."}}