{"id":"W2954763613","doi":"10.7189/jogh.09.010805","title":"iCCM data quality: an approach to assessing iCCM reporting systems and data quality in 5 African countries","year":2019,"lang":"en","type":"article","venue":"Journal of Global Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada","keywords":"Computer science; Data quality; Quality (philosophy); Process management; Data science; Operations management; Business; Metric (unit); Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.337367,0.0009134288,0.001236096,0.02172788,0.005680892,0.00865888,0.00378513,0.001648895,0.002995024],"category_scores_gemma":[0.3796291,0.001262978,0.002022248,0.02393817,0.004917365,0.006440757,0.01609135,0.003485068,0.0004174146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02255264,"about_ca_system_score_gemma":0.04965516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03205492,"about_ca_topic_score_gemma":0.03149896,"domain_scores_codex":[0.6913043,0.2093636,0.05106485,0.009617131,0.03251458,0.006135588],"domain_scores_gemma":[0.5631428,0.2002086,0.07701781,0.02497591,0.1281898,0.006465028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004375171,0.0006800551,0.4825076,0.005992195,0.0006299158,0.000593972,0.1553565,0.003948604,0.00151013,0.03153412,0.01570775,0.3011017],"study_design_scores_gemma":[0.0002311309,0.001936692,0.5323719,0.01278842,0.0006653825,0.0007976645,0.2300778,0.02615101,0.007561649,0.01509249,0.171849,0.0004767894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5902982,0.002748091,0.2479851,0.01176432,0.000401472,0.06617993,0.01199728,0.001642696,0.06698289],"genre_scores_gemma":[0.5471466,0.0005562616,0.4198828,0.0008673188,0.00004712777,0.02790779,0.002240294,0.0001132954,0.001238473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.337367,"threshold_uncertainty_score":0.8171445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2091089064712271,"score_gpt":0.5127250615243114,"score_spread":0.3036161550530843,"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."}}