{"id":"W2766452419","doi":"10.1007/978-3-319-64786-9_19","title":"Rural Development, Employment, Chronic Health, and Economic Conditions in Canada","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic shortage; Economic growth; Rural area; Geography; Health care; Service provider; Rehabilitation; Business; Socioeconomics; Service (business); Medicine; Sociology; Economics; Marketing","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":[0.0005443323,0.0003978976,0.0003582411,0.001625304,0.008012668,0.003754188,0.0008505706,0.0009875628,0.01224547],"category_scores_gemma":[0.001405441,0.0002821392,0.0003024602,0.006495371,0.001924144,0.0008465456,0.001304561,0.001970217,0.0006034286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08281443,"about_ca_system_score_gemma":0.2513017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997546,"about_ca_topic_score_gemma":0.9994783,"domain_scores_codex":[0.9994522,0.0000388632,0.00001509664,0.00002929818,0.0002405779,0.0002240214],"domain_scores_gemma":[0.9993615,0.00008110729,0.00002367664,0.000008230881,0.000270152,0.0002553721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003462275,0.00009777037,0.01269922,0.0004193611,0.00002405866,0.0004908335,0.01337752,0.001207233,0.0002313279,0.1425631,0.6238714,0.2049836],"study_design_scores_gemma":[0.000007530833,0.00001779924,0.03475862,0.0007618318,0.00001922219,0.0001862748,0.01825576,0.0004423962,0.00008148136,0.007653105,0.9377787,0.00003734176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.064245,0.2384398,0.0005859531,0.09478708,0.004603137,0.0001137048,0.002756681,0.00009890175,0.5943698],"genre_scores_gemma":[0.2401092,0.2463737,0.001296711,0.01038797,0.0009653004,0.00008623154,0.001229669,0.00008280359,0.4994685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08281443,"threshold_uncertainty_score":0.6008636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05041683944049129,"score_gpt":0.3909118561216467,"score_spread":0.3404950166811554,"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."}}