{"id":"W2898251117","doi":"10.1136/bmjopen-2017-021036","title":"Primary care in Germany: access and utilisation—a cross-sectional study with data from the German Socio-Economic Panel (SOEP)","year":2018,"lang":"en","type":"article","venue":"BMJ Open","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Rurality; Medicine; German; Demography; Logistic regression; Cross-sectional study; Rural area; Population; Gerontology; Socioeconomics; Environmental health; Geography","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001670604,0.000175207,0.0003112809,0.00003602932,0.001344368,0.0002449086,0.001950566,0.0001410038,0.001135538],"category_scores_gemma":[0.00005052372,0.000122049,0.00001175517,0.0001135519,0.0002102805,0.001050926,0.003430808,0.0004144472,0.0004392054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004571214,"about_ca_system_score_gemma":0.001120154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02632345,"about_ca_topic_score_gemma":0.06538983,"domain_scores_codex":[0.9973606,0.0006720343,0.0006568399,0.0006277332,0.0002558275,0.000426981],"domain_scores_gemma":[0.9975373,0.0005818169,0.000320679,0.001320199,0.0001279072,0.0001121268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006487384,0.00004097079,0.9793224,0.00006967255,0.00002424896,0.000004749146,0.0132034,0.000002888969,6.325049e-7,0.0000841795,0.006173801,0.0004243043],"study_design_scores_gemma":[0.00196528,0.0001371022,0.9742733,0.0002160419,0.00001305562,0.00000175472,0.01081833,0.0001212514,3.859473e-7,0.0003628282,0.0119329,0.0001577544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725332,0.0000904325,0.000003184023,0.0009661898,0.000495524,0.01140593,0.0005163622,0.00003736779,0.01395177],"genre_scores_gemma":[0.9940057,0.00001284584,0.0001292192,0.002457158,0.000854722,0.001024481,0.0006250901,0.00002970802,0.0008610737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03906639,"threshold_uncertainty_score":0.9999558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3271394933454562,"score_gpt":0.573060474923248,"score_spread":0.2459209815777917,"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."}}