{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002102963,0.000574254,0.002223711,0.002238136,0.0007694812,0.00001981645,0.0005038687,0.0009207233,0.001398764],"category_scores_gemma":[0.00009589789,0.0005044584,0.0004904423,0.001704411,0.0002760283,0.0004469987,0.0001670165,0.002792065,0.00003258131],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005258801,"about_ca_system_score_gemma":0.001516885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0100948,"about_ca_topic_score_gemma":0.0009709672,"domain_scores_codex":[0.9923647,0.001346548,0.003249026,0.0002618333,0.001205672,0.001572233],"domain_scores_gemma":[0.9911892,0.0007399693,0.005151134,0.0004260988,0.001545614,0.0009479776],"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":[0.0002823564,0.00002537899,0.03040124,0.00112465,0.0009382221,0.0001260229,0.006919009,0.00000645717,0.000005359445,0.0002882514,0.9596035,0.0002795662],"study_design_scores_gemma":[0.001957071,0.003370005,0.04776844,0.006690275,0.001765512,0.0001292856,0.258945,0.00001218803,0.0000609066,0.000408004,0.6779563,0.0009369914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.294113,0.001829809,0.00005579478,0.7008879,0.0008503586,0.0007579151,0.0007156592,0.00003057936,0.000759059],"genre_scores_gemma":[0.3701958,0.002335524,0.00111822,0.5954822,0.002373457,0.000007372144,0.0004593113,0.0001092894,0.02791882],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2816472,"threshold_uncertainty_score":0.9997407,"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."}}