{"id":"W2991627894","doi":"10.22605/rrh4104","title":"Recruitment and retention of remote and rural health care staff: making it work","year":2016,"lang":"en","type":"article","venue":"Rural and Remote Health","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Work (physics); Process (computing); Workforce development; Health care; Business; Scale (ratio); Process management; Knowledge management; Workforce planning; Rural area; Computer science; Public relations; Medicine; Engineering; Political science; Economic growth; Economics","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":[0.0278162,0.0005390201,0.0004854845,0.001336008,0.01156296,0.008009891,0.004161461,0.003060826,0.006139681],"category_scores_gemma":[0.04380211,0.0004572516,0.0005742597,0.001478739,0.00487215,0.005329594,0.01148959,0.003448138,0.001495909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005020288,"about_ca_system_score_gemma":0.03318479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066251,"about_ca_topic_score_gemma":0.02346934,"domain_scores_codex":[0.9778013,0.01537737,0.0004339477,0.00058765,0.0022359,0.003563878],"domain_scores_gemma":[0.9746789,0.009103647,0.001779517,0.001380395,0.001995067,0.01106248],"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":[0.0002777081,0.002088572,0.02578894,0.001946124,0.00004427122,0.001325402,0.1674598,0.0006878903,0.002686123,0.006966882,0.02208484,0.7686435],"study_design_scores_gemma":[0.0003554766,0.005971422,0.08864594,0.005141152,0.0001312255,0.001252584,0.6840856,0.001739551,0.003892939,0.02067438,0.1878278,0.0002819416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7368766,0.003277606,0.01945188,0.160013,0.00112528,0.004949835,0.0001108297,0.0005878952,0.07360707],"genre_scores_gemma":[0.9418087,0.003077559,0.03001457,0.01140401,0.00035854,0.00209243,0.0001342265,0.00007955351,0.01103044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0278162,"threshold_uncertainty_score":0.1471078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04592079652013893,"score_gpt":0.2904802853765599,"score_spread":0.244559488856421,"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."}}