{"id":"W1560942815","doi":"","title":"Rural medical students at urban medical schools: Too few and far between?","year":2007,"lang":"en","type":"article","venue":"PubMed","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Residence; Rurality; Medicine; Physician supply; Rural area; Test (biology); Population; Institution; Family medicine; Health care; Demography; Gerontology; Environmental health; Economic growth","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007888003,0.0002686385,0.000549152,0.0001246583,0.0008678295,0.00002359691,0.0008546826,0.0008869708,0.001183203],"category_scores_gemma":[0.002772215,0.0002239006,0.00006361463,0.0003387437,0.0001962863,0.0001351633,0.001096603,0.001611543,0.0006081011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006593495,"about_ca_system_score_gemma":0.0002686683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000627569,"about_ca_topic_score_gemma":0.001112864,"domain_scores_codex":[0.9925987,0.0005123951,0.001141836,0.0004292664,0.003208247,0.002109593],"domain_scores_gemma":[0.9947829,0.00118702,0.0002209845,0.0004001205,0.0001155552,0.003293429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000758447,0.00004716565,0.8590409,0.0001078049,0.00003278353,0.00006221864,0.0004133124,1.457323e-8,8.586789e-8,0.0003497992,0.0658566,0.07401348],"study_design_scores_gemma":[0.001554887,0.00002704157,0.7917011,0.0002325227,0.00002354588,0.000008288765,0.001029583,0.000003478207,0.00000213617,0.0001345527,0.2051125,0.0001704356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701272,0.002072028,0.00006272432,0.01324269,0.001394456,0.002073888,0.0000155756,0.0002704337,0.01074098],"genre_scores_gemma":[0.977809,0.0005149422,0.00006051922,0.01068109,0.001889137,0.000668459,0.00003978143,0.00004264912,0.008294387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1392559,"threshold_uncertainty_score":0.9997299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04622922667312834,"score_gpt":0.429575377718497,"score_spread":0.3833461510453686,"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."}}