{"id":"W3206443911","doi":"10.5334/aogh.3242","title":"Liberia’s First Health Workforce Program Strategy: Reflections and Lessons Learned","year":2021,"lang":"en","type":"article","venue":"Annals of Global Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Workforce; Political science; Law","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":[0.02346501,0.001034736,0.000432958,0.0007440899,0.004548888,0.009483831,0.003012299,0.01004197,0.008803591],"category_scores_gemma":[0.01893435,0.0004040676,0.0007199218,0.0007476794,0.004381107,0.007532212,0.008302376,0.01563428,0.001648592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01135518,"about_ca_system_score_gemma":0.05250394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02416328,"about_ca_topic_score_gemma":0.04798229,"domain_scores_codex":[0.9887481,0.005247203,0.0003363242,0.0004215283,0.0014157,0.003831184],"domain_scores_gemma":[0.9813689,0.005421065,0.0007745329,0.0004125256,0.002641857,0.00938114],"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":[0.0001321985,0.000954189,0.00424503,0.00245753,0.00004789668,0.001286643,0.02324673,0.0006630956,0.0009882182,0.04380404,0.7248307,0.1973438],"study_design_scores_gemma":[0.0001067108,0.0005624262,0.007782517,0.005483197,0.00003947901,0.000537676,0.05037137,0.0003880519,0.001307208,0.009965284,0.9233362,0.0001199128],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008629221,0.009816356,0.0007333022,0.9630096,0.005585225,0.0001455583,0.0003059253,0.00007997086,0.01169488],"genre_scores_gemma":[0.2214062,0.03001793,0.01404585,0.6862524,0.004501516,0.0009966175,0.000925524,0.0002239063,0.04163012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02416328,"threshold_uncertainty_score":0.1240963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1615563023131321,"score_gpt":0.4973269836950653,"score_spread":0.3357706813819332,"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."}}