{"id":"W2902125559","doi":"10.1002/hpm.2712","title":"Availability of health workforce in urban and rural areas in relation to Canadian seniors","year":2018,"lang":"en","type":"article","venue":"The International Journal of Health Planning and Management","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec en Outaouais","funders":"","keywords":"Workforce; Residence; Metropolitan area; Health care; Health human resources; Rural area; Medicine; Rural health; Population; Nursing; Environmental health; Business; Geography; Economic growth; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008849372,0.0001988182,0.0002998764,0.002402239,0.002876842,0.001352315,0.001236003,0.0003992772,0.003809351],"category_scores_gemma":[0.003955738,0.0002016097,0.0003784244,0.004579393,0.0008136085,0.0005136546,0.001590921,0.0006633644,0.0002708234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01786213,"about_ca_system_score_gemma":0.02467423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9844772,"about_ca_topic_score_gemma":0.9918029,"domain_scores_codex":[0.998538,0.0000932296,0.00007293854,0.0001465922,0.0004204611,0.000728735],"domain_scores_gemma":[0.9957293,0.0002045626,0.0008083888,0.00005579167,0.001122656,0.002079377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00010856,0.00005732105,0.9833135,0.00008555502,0.00002941097,0.0001908973,0.003791421,0.0001463201,0.000133784,0.000453313,0.003107702,0.008582318],"study_design_scores_gemma":[0.000003244367,0.00001745369,0.9910082,0.0000471401,0.00000663844,0.00005615779,0.007335712,0.0000981192,0.00001790384,0.0000356899,0.00136542,0.000008300323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886575,0.0008193193,0.0000430153,0.001464856,0.00002249258,0.00002438237,0.002718725,0.000007427159,0.006242217],"genre_scores_gemma":[0.9977943,0.0004996749,0.00005149387,0.0001707675,0.000009745393,0.000009339478,0.0006075437,0.000003365394,0.0008537451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01786213,"threshold_uncertainty_score":0.1295994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0469429615036737,"score_gpt":0.4173219477228474,"score_spread":0.3703789862191737,"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."}}