{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00348383,0.0003008704,0.0005459873,0.0006709775,0.0007250724,0.001413421,0.001090299,0.0008300609,0.009409793],"category_scores_gemma":[0.01514512,0.0003147013,0.0009451332,0.0009376786,0.001376902,0.001164257,0.001832052,0.0009756046,0.0005823689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005164037,"about_ca_system_score_gemma":0.0009770618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01934669,"about_ca_topic_score_gemma":0.02732367,"domain_scores_codex":[0.9974662,0.001237603,0.00009184759,0.0005066306,0.0002908429,0.0004069174],"domain_scores_gemma":[0.9858801,0.00551018,0.004960524,0.0007133188,0.000606364,0.002329567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003384268,0.00008971048,0.9915398,0.00007950667,0.0002352847,0.0001118265,0.000408538,0.0000902993,0.00009530634,0.0002456535,0.0003325636,0.006433095],"study_design_scores_gemma":[0.00001666578,0.0002644873,0.9969989,0.00009693674,0.0001457572,0.00006761959,0.001134402,0.0002473618,0.00005393979,0.0001779257,0.0007897691,0.000006306293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915837,0.001795816,0.0006078171,0.002135788,0.00005722242,0.00003587252,0.0004582666,0.00001311051,0.003312362],"genre_scores_gemma":[0.9988243,0.0002013002,0.0001450401,0.0001507016,0.00003745705,0.000009786549,0.00009482767,0.000006743988,0.0005297301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01934669,"threshold_uncertainty_score":0.03846812,"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."}}