{"id":"W2023371775","doi":"10.1016/j.vaccine.2009.08.035","title":"Vaccine wastage in Bangladesh","year":2009,"lang":"en","type":"article","venue":"Vaccine","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Measles; Measles vaccine; Medicine; Vial; Outreach; Vaccination; Environmental health; Database; Pediatrics; Virology; Computer science; Chemistry; Economic growth","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":[0.001050458,0.000269943,0.0003665753,0.001364567,0.000882661,0.001299673,0.0004162748,0.0005640698,0.006496217],"category_scores_gemma":[0.004007708,0.000303891,0.0004745552,0.003313318,0.0006190898,0.000880391,0.0008448207,0.001273035,0.0006659181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006233128,"about_ca_system_score_gemma":0.004575139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1064556,"about_ca_topic_score_gemma":0.07846084,"domain_scores_codex":[0.9990489,0.0001829827,0.0001456252,0.0000823997,0.0001455251,0.0003945105],"domain_scores_gemma":[0.9978714,0.0003473406,0.0006892991,0.00006759304,0.0004664105,0.0005578584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001476639,0.0001858239,0.9090904,0.00100885,0.0001711092,0.008416916,0.005710842,0.0007131993,0.003228842,0.005432235,0.009641459,0.0549237],"study_design_scores_gemma":[0.0001037739,0.0008490422,0.9256156,0.0008387665,0.0001538271,0.004969629,0.01594519,0.000537741,0.001299496,0.001543985,0.04805866,0.00008426089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960245,0.007167348,0.0001504656,0.007730047,0.0001915365,0.0001122816,0.00466689,0.00003713275,0.01969934],"genre_scores_gemma":[0.9928325,0.004048705,0.00004885823,0.000619765,0.00002793115,0.0000334322,0.0006734717,0.00000731623,0.001707956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1064556,"threshold_uncertainty_score":0.2116719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009153940146761125,"score_gpt":0.2712551554760603,"score_spread":0.2621012153292991,"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."}}