{"id":"W2968686477","doi":"10.22215/sdhlab/2019.1","title":"Recruitment and Retention of Rural Physicians","year":2019,"lang":"en","type":"report","venue":"","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rural area; Rural population; Rural health; Business; Population; Health care; Health services; Nursing; Geography; Medicine; Environmental health; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01119204,0.0003292415,0.0002690935,0.001553382,0.003121185,0.001944909,0.001758878,0.001300097,0.02420786],"category_scores_gemma":[0.01643095,0.0005049699,0.0003544592,0.0009358645,0.0005645644,0.0009439893,0.003634356,0.001540639,0.01042463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002097751,"about_ca_system_score_gemma":0.01668645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01320167,"about_ca_topic_score_gemma":0.02294509,"domain_scores_codex":[0.9937844,0.001657743,0.0003403476,0.0005617701,0.001476989,0.002178787],"domain_scores_gemma":[0.9876289,0.001182819,0.0007062665,0.0004762409,0.003820231,0.006185441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002940093,0.01362605,0.4177687,0.001139065,0.00004279274,0.002179023,0.04394959,0.0004094859,0.008055777,0.001610587,0.1302389,0.3780399],"study_design_scores_gemma":[0.001844669,0.01841615,0.7142813,0.001677802,0.00005118748,0.001745087,0.0604472,0.001207582,0.003990178,0.001202537,0.1950041,0.0001322254],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8616787,0.001473625,0.004134554,0.01182786,0.0009205212,0.05580417,0.005133839,0.0002179123,0.05880878],"genre_scores_gemma":[0.8007578,0.002729839,0.01465764,0.01449509,0.000950813,0.05349202,0.004705867,0.0001007729,0.1081101],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02420786,"threshold_uncertainty_score":0.08098334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2207513212182372,"score_gpt":0.5064587220319215,"score_spread":0.2857074008136843,"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."}}