{"id":"W1916801397","doi":"","title":"Challenges for rural communities in recruiting and retaining physicians: a fictional tale helps examine the issues.","year":2013,"lang":"en","type":"article","venue":"PubMed","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Factory (object-oriented programming); Rural area; Sociology; History; Public relations; Medicine; Gerontology; Political science; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001264278,0.000139686,0.0002529548,0.00006236936,0.0008353419,0.00002205783,0.0001853769,0.0001173447,0.00005966333],"category_scores_gemma":[0.0003009017,0.0001074636,0.00002968781,0.0001160574,0.0001200164,0.0002267367,0.0001321778,0.0004503506,0.00001729218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001213542,"about_ca_system_score_gemma":0.0000248509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002601321,"about_ca_topic_score_gemma":0.002506179,"domain_scores_codex":[0.9979916,0.0004930799,0.0004191121,0.0001242143,0.0001509788,0.0008210133],"domain_scores_gemma":[0.9974635,0.001892797,0.000171695,0.0002617374,0.0001292994,0.0000810335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005983332,0.00005249886,0.03554469,0.0005981523,0.00002666216,5.738802e-7,0.06872215,0.00001147905,0.000004267768,0.007863599,0.007808308,0.8793078],"study_design_scores_gemma":[0.0007874648,0.00003556693,0.5632151,0.0006035892,0.000008310832,0.000001809474,0.3409478,0.0004448095,0.00000416463,0.003579483,0.09021973,0.000152176],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939548,0.01192946,0.000007910092,0.02769519,0.0003817243,0.004865845,0.00001700468,0.0001102708,0.01544461],"genre_scores_gemma":[0.9744088,0.002114118,0.0001784098,0.001483496,0.0004151378,0.01886402,0.00003026334,0.00002473926,0.002481026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8791556,"threshold_uncertainty_score":0.6424859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1773596988384454,"score_gpt":0.3927994557343238,"score_spread":0.2154397568958785,"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."}}