{"id":"W3213939324","doi":"","title":"Pharmacy Disparities in Rural Georgia","year":2021,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacy; Political science; Medicine; Geography; Family medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004479405,0.00009011989,0.0001828785,0.001083621,0.00125958,0.0006578743,0.0003678258,0.0003065276,0.00468132],"category_scores_gemma":[0.002555622,0.00009017868,0.0002151914,0.001654668,0.0005384237,0.0004272075,0.001506732,0.0005642384,0.000143242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001852668,"about_ca_system_score_gemma":0.002278175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06947949,"about_ca_topic_score_gemma":0.1735366,"domain_scores_codex":[0.9995431,0.0001066929,0.000025098,0.0001041329,0.00008826303,0.0001326638],"domain_scores_gemma":[0.999285,0.000121121,0.0002949611,0.00002603009,0.00006686716,0.0002060764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008932664,0.0002117389,0.9131052,0.0002543619,0.00009123164,0.001002715,0.01234803,0.0003113716,0.0006999754,0.008867661,0.006909883,0.05610863],"study_design_scores_gemma":[0.00001235884,0.00006561012,0.9811739,0.0001726063,0.00002596841,0.0004538636,0.007759965,0.0002859683,0.00005230671,0.001728904,0.008258609,0.000009872931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848725,0.0009247463,0.0001667097,0.003871722,0.00003576966,0.00002891245,0.0002965902,0.000007310149,0.009795771],"genre_scores_gemma":[0.9985548,0.0003514783,0.0001027182,0.0005339286,0.00001068992,0.000009564887,0.00008131751,0.000002090506,0.0003533929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06947949,"threshold_uncertainty_score":0.1381502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06134316496693253,"score_gpt":0.4130086716295598,"score_spread":0.3516655066626273,"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."}}