{"id":"W2996797830","doi":"10.1093/ije/dyz252","title":"Cohort Profile: The Kaloleni/Rabai Community Health and Demographic Surveillance System","year":2019,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada; Government of Canada; Aga Khan Foundation Canada; Aga Khan Foundation","keywords":"Cohort; Medicine; Cohort study; Environmental health; Epidemiology; Demography; Gerontology; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.005427607,0.0004238061,0.0004924151,0.002568942,0.0009540542,0.001336657,0.001294832,0.0004138389,0.006824049],"category_scores_gemma":[0.009482434,0.0004326311,0.0003906063,0.003305307,0.0002006526,0.001075338,0.002216089,0.001226376,0.003981512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471989,"about_ca_system_score_gemma":0.005702719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08028413,"about_ca_topic_score_gemma":0.08455967,"domain_scores_codex":[0.99828,0.000401757,0.0002836887,0.0002735466,0.0005238982,0.0002370545],"domain_scores_gemma":[0.9943632,0.0003406585,0.000622306,0.001173486,0.002643997,0.0008564088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00081808,0.0001728301,0.6767957,0.0005998596,0.00025807,0.0001813791,0.001017743,0.000346383,0.001407482,0.003215352,0.2419042,0.07328285],"study_design_scores_gemma":[0.0002642352,0.0001622016,0.8082357,0.0006085741,0.0001345698,0.0002379137,0.0007881279,0.001200443,0.0009488458,0.0008437821,0.1865033,0.00007229847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.180407,0.002001404,0.0108321,0.007081318,0.0009084587,0.008558773,0.747265,0.001845183,0.04110079],"genre_scores_gemma":[0.286744,0.004088925,0.02741755,0.003461856,0.0007092826,0.01335561,0.6390065,0.0005547369,0.02466147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08028413,"threshold_uncertainty_score":0.1596336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736571684258764,"score_gpt":0.3497708525925066,"score_spread":0.322405135749919,"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."}}