{"id":"W2892532652","doi":"10.26633/rpsp.2018.156","title":"The Virgin Islands National Information Systems for Health: vision, actions, and lessons learned for advancing the national public health agenda","year":2018,"lang":"en","type":"article","venue":"Revista Panamericana de Salud Pública","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Magna International (Canada)","funders":"","keywords":"Stewardship (theology); Christian ministry; Political science; National Policy; Geography","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":[0.05455987,0.001625221,0.0009838613,0.005064242,0.008045733,0.03213437,0.004412453,0.01098529,0.007633904],"category_scores_gemma":[0.0393894,0.001029513,0.001275782,0.005675844,0.009844788,0.01697507,0.01339418,0.0199555,0.003169569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03435491,"about_ca_system_score_gemma":0.2040554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3435415,"about_ca_topic_score_gemma":0.2729856,"domain_scores_codex":[0.9733147,0.01445103,0.001592206,0.00101004,0.006343126,0.003288894],"domain_scores_gemma":[0.9542699,0.0143067,0.00178246,0.002230839,0.01249739,0.01491261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004602156,0.0001955071,0.004493156,0.00203697,0.00006713349,0.0003660001,0.009283065,0.00117392,0.00038289,0.1978056,0.5468534,0.2372965],"study_design_scores_gemma":[0.00001806059,0.00003835172,0.003084511,0.004768333,0.00002942523,0.0001138444,0.01155951,0.0008295297,0.0002361725,0.03615046,0.9431065,0.0000652867],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001953795,0.03101675,0.003120909,0.928134,0.002516443,0.0001122119,0.0004824764,0.0003094166,0.03235396],"genre_scores_gemma":[0.1711176,0.2790155,0.1762457,0.2806503,0.00686884,0.001560688,0.009105126,0.0007802036,0.07465602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3435415,"threshold_uncertainty_score":0.6830838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1156397340955204,"score_gpt":0.4165395908620308,"score_spread":0.3008998567665104,"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."}}