{"id":"W3120879876","doi":"","title":"The role of national policies to address rural allied health, nursing and dentistry workforce maldistribution","year":2020,"lang":"en","type":"article","venue":"UWA Profiles and Research Repository (UWA)","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Nursing; Medicine; Rural health; Dentistry; Rural area; Political science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001446756,0.0001576315,0.0002897554,0.00007867633,0.003597338,0.00007854705,0.0002671611,0.0001845463,0.00001377946],"category_scores_gemma":[0.0004290433,0.0001184503,0.0000399706,0.0004230805,0.0004065468,0.0001135035,0.0002635643,0.0007856618,0.00001691138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003280858,"about_ca_system_score_gemma":0.0006714746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008174709,"about_ca_topic_score_gemma":0.000007059984,"domain_scores_codex":[0.9960238,0.001044315,0.0006470217,0.0003292617,0.0009968192,0.0009587276],"domain_scores_gemma":[0.9974623,0.0007836964,0.0002232634,0.0002107646,0.000658771,0.0006612601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003849829,0.0004079451,0.1412316,0.005424194,0.0002171681,0.00004312585,0.0689031,0.0001199294,0.07658119,0.4081324,0.2103224,0.08476711],"study_design_scores_gemma":[0.00295892,0.002386547,0.203937,0.01225598,0.00003817934,0.0001217537,0.2775951,0.00404813,0.1064804,0.01481764,0.3743797,0.0009806417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380464,0.01276433,0.00003502216,0.03434166,0.0003738358,0.002157734,0.0001219975,0.00007697202,0.01208206],"genre_scores_gemma":[0.9962203,0.000738052,0.0001711356,0.0004043307,0.0006174799,0.0001718032,0.00004106631,0.00002103791,0.001614789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3933147,"threshold_uncertainty_score":0.9976999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08852082235908665,"score_gpt":0.4798866036845935,"score_spread":0.3913657813255068,"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."}}