{"id":"W3048502847","doi":"10.2196/20848","title":"Gaps in Team Communication About Service Statistics Among Health Extension Workers in Ethiopia: Secondary Data Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descriptive statistics; Staffing; Medicine; Outreach; Data collection; Nursing; Health care; Public health; Statistics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01021989,0.0005917577,0.0009903555,0.005048529,0.001248345,0.001780989,0.00108518,0.0005635631,0.003406409],"category_scores_gemma":[0.019033,0.0005125307,0.001206049,0.005530667,0.0007279023,0.001022332,0.002010629,0.0009918219,0.0005063984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002196957,"about_ca_system_score_gemma":0.004895203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01501966,"about_ca_topic_score_gemma":0.01062195,"domain_scores_codex":[0.9931914,0.002482585,0.001261169,0.0007585175,0.001040425,0.001265838],"domain_scores_gemma":[0.9832612,0.006932695,0.004146161,0.0009717296,0.003836291,0.000851924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003113922,0.0005309846,0.9718311,0.001009854,0.0002413912,0.0003058208,0.01139493,0.0002902516,0.0002718561,0.0003891147,0.001736799,0.01168649],"study_design_scores_gemma":[0.00005899003,0.0006534134,0.9518237,0.001178098,0.0002562222,0.0002614425,0.04000175,0.001205453,0.0006117668,0.0002758175,0.00363127,0.00004205135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913431,0.0002192394,0.0006850979,0.0001229396,0.00001437694,0.0005920954,0.005774467,0.000007411116,0.00124124],"genre_scores_gemma":[0.9923944,0.0002459162,0.001183658,0.0001639089,0.00001847688,0.001995119,0.003526303,0.000008200709,0.0004639828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01501966,"threshold_uncertainty_score":0.0540486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06835556489527178,"score_gpt":0.3933905525384539,"score_spread":0.3250349876431821,"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."}}