{"id":"W2725245257","doi":"","title":"Redeveloping a DNP Program to Meet Local to Global Healthcare Needs","year":2017,"lang":"en","type":"article","venue":"44th Biennial Convention (28 October - 01 November 2017)","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Learning Partnership","funders":"","keywords":"Health care; Business; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01610307,0.0004985423,0.0003367932,0.001362953,0.00425002,0.004756994,0.002811797,0.004140956,0.03635948],"category_scores_gemma":[0.02260883,0.0004913206,0.0008171705,0.0009402152,0.001551204,0.003176935,0.01343856,0.006042528,0.005804334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007015256,"about_ca_system_score_gemma":0.1041619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02358093,"about_ca_topic_score_gemma":0.06621521,"domain_scores_codex":[0.992222,0.002368134,0.0003328324,0.0006287965,0.001414401,0.003033814],"domain_scores_gemma":[0.9579867,0.002546505,0.00107473,0.001529744,0.004758807,0.03210359],"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":[0.0002348517,0.002983883,0.03403453,0.0007728839,0.0000648085,0.001046118,0.002688369,0.00181782,0.004205084,0.05296697,0.4846588,0.4145258],"study_design_scores_gemma":[0.0002253976,0.0005956831,0.04207662,0.000632001,0.00003624933,0.0005933817,0.00530422,0.001831468,0.001568906,0.01509306,0.9319821,0.00006104944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1020204,0.001700412,0.04953308,0.4890363,0.01750959,0.007354558,0.002045119,0.002009216,0.3287913],"genre_scores_gemma":[0.3906849,0.001955965,0.079403,0.2085619,0.003099791,0.006075363,0.002306555,0.0004754172,0.307437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03635948,"threshold_uncertainty_score":0.1216346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06309712757152242,"score_gpt":0.3671435667228542,"score_spread":0.3040464391513318,"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."}}