{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002889871,0.0002004098,0.0005110442,0.001114613,0.002151157,0.002146409,0.0008753096,0.0008598583,0.007179784],"category_scores_gemma":[0.009481924,0.0002551168,0.00024812,0.001715713,0.002076762,0.001585565,0.002454086,0.001225779,0.0008091152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195775,"about_ca_system_score_gemma":0.002297667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009691758,"about_ca_topic_score_gemma":0.02457489,"domain_scores_codex":[0.9968424,0.001256279,0.0001282696,0.0003514155,0.0005676161,0.0008540713],"domain_scores_gemma":[0.9898296,0.001299402,0.002608938,0.0002325783,0.0005931364,0.005436324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001391955,0.0001008146,0.9658097,0.00009407744,0.00004290411,0.000432704,0.006011716,0.00004199799,0.0002805162,0.0008511092,0.002839526,0.02335578],"study_design_scores_gemma":[0.00001913337,0.0002156764,0.9432212,0.0002331553,0.00003388243,0.0007665068,0.04885481,0.0001558462,0.0001013108,0.001072643,0.005300341,0.00002553388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891812,0.0009329586,0.0002061797,0.007980106,0.0001005,0.00001504083,0.0001057145,0.000006471373,0.001471828],"genre_scores_gemma":[0.9982355,0.000354997,0.00006332384,0.0008109488,0.00007617109,0.000007317128,0.00005157956,0.000004747164,0.0003954246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009691758,"threshold_uncertainty_score":0.02401882,"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."}}