{"id":"W2060241638","doi":"10.1111/j.1440-1584.2007.00894.x","title":"Analysis to synergy: Why coordination of rural initiatives at metropolitan universities is important and timely","year":2007,"lang":"en","type":"letter","venue":"Australian Journal of Rural Health","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Workforce; Staffing; Government (linguistics); Curriculum; Accountability; Economic growth; Political science; Public relations; Rural area; Human resources; Business; Public administration; Medicine; Nursing; 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":[0.05845749,0.0008929788,0.001067419,0.004224776,0.01522325,0.02302362,0.004609931,0.006286619,0.01616881],"category_scores_gemma":[0.1279393,0.001137635,0.001015333,0.004533654,0.01518312,0.0319191,0.02931059,0.01094831,0.002474501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02074519,"about_ca_system_score_gemma":0.04957655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111917,"about_ca_topic_score_gemma":0.01454018,"domain_scores_codex":[0.9419098,0.03650061,0.002295433,0.003885363,0.007886809,0.007521998],"domain_scores_gemma":[0.8705733,0.06257921,0.01246993,0.007409833,0.02227476,0.02469285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004317181,0.0002683191,0.02702489,0.003922297,0.0004065379,0.003027142,0.208246,0.002144206,0.00130284,0.2241945,0.2666672,0.2623643],"study_design_scores_gemma":[0.00007735005,0.0002539338,0.01361096,0.004859971,0.0001455665,0.0009088774,0.2695234,0.002640493,0.0009884267,0.2330333,0.4737721,0.0001857294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0838524,0.01248877,0.02894221,0.8033231,0.005590186,0.000534054,0.0002712788,0.0007514674,0.06424653],"genre_scores_gemma":[0.8974965,0.005357218,0.01971187,0.06269471,0.002123544,0.0007030596,0.0002028891,0.000593839,0.0111164],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05845749,"threshold_uncertainty_score":0.3091565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04430181246734346,"score_gpt":0.4161084676452763,"score_spread":0.3718066551779328,"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."}}