{"id":"W1874638152","doi":"10.1111/ajr.12183","title":"Urban washout: How strong is the rural-background effect?","year":2015,"lang":"en","type":"article","venue":"Australian Journal of Rural Health","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Laurentian University","funders":"Monash University","keywords":"McNemar's test; Medicine; Logistic regression; Odds ratio; Rural area; Confidence interval; Bachelor; Family medicine; Demography; Odds; Geography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005153731,0.0004443315,0.00103883,0.0001712549,0.001171028,0.00007442033,0.0008961503,0.0003125673,0.0003991145],"category_scores_gemma":[0.000214093,0.0002708794,0.0002944111,0.0005590217,0.0002119129,0.000613891,0.0001177687,0.002484018,0.0004603914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465072,"about_ca_system_score_gemma":0.001823179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001501572,"about_ca_topic_score_gemma":0.0002015398,"domain_scores_codex":[0.9925295,0.002525329,0.001674231,0.0001915168,0.001173018,0.001906373],"domain_scores_gemma":[0.9939532,0.0006997021,0.002125051,0.0006365303,0.000685196,0.001900302],"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":[0.0003486463,0.00003909289,0.0692206,0.0003555283,0.00006002893,0.00002152429,0.008953754,0.00001120968,0.000008785319,0.0008931438,0.9155653,0.004522433],"study_design_scores_gemma":[0.007149809,0.006744911,0.04663128,0.006055605,0.0001447655,0.0003941749,0.2416344,0.00002969122,0.00008882278,0.001154005,0.6892952,0.0006774188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7869384,0.002667025,0.00003717062,0.2037291,0.004144217,0.001346775,0.0000396415,0.00006823533,0.001029431],"genre_scores_gemma":[0.9720437,0.0003689341,0.0003159692,0.006292291,0.002451452,0.00002017869,0.00001357777,0.00006126272,0.01843265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2326806,"threshold_uncertainty_score":0.9999743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116350493383348,"score_gpt":0.4558452681559638,"score_spread":0.3442102188176289,"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."}}