{"id":"W6995841760","doi":"","title":"Prevalence Of Haemoglobinopathy And Malaria Diseases In The Population\\nOf Old Aguata Division, Anambra State, Nigeria","year":2005,"lang":"en","type":"other","venue":"Bioline International (Bioline International)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Winnipeg","keywords":"Malaria; Epidemiology; Vivax malaria; Disease; Prevalence; Incidence (geometry)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008151868,0.0009683995,0.0008467952,0.001960004,0.00007355814,0.0002198073,0.003057481,0.0004080961,0.00561617],"category_scores_gemma":[0.001105182,0.0007810122,0.0003325106,0.0005685086,0.0003789856,0.0004684701,0.0007695672,0.0006099512,0.0003370343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004084094,"about_ca_system_score_gemma":0.0001653036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003412046,"about_ca_topic_score_gemma":0.00232641,"domain_scores_codex":[0.993849,0.0003427818,0.001923583,0.001351862,0.001980239,0.0005525186],"domain_scores_gemma":[0.9958265,0.000399008,0.001871792,0.001057401,0.0006534783,0.0001917494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005256495,0.001925865,0.8109782,0.0003623571,0.001013206,0.0001013339,0.0003238443,0.0005193366,0.000657522,0.01023898,0.1671528,0.00620089],"study_design_scores_gemma":[0.002457145,0.0001036036,0.7844738,0.001625161,0.0001010206,0.0000848682,0.00006000223,0.002746668,0.0001013534,0.0009218505,0.206317,0.001007465],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4089954,0.02614118,0.001592722,0.02667997,0.02015644,0.01181848,0.2517351,0.002367934,0.2505128],"genre_scores_gemma":[0.8039917,0.002794915,0.001309117,0.0006795644,0.003214251,0.0002073787,0.01110586,0.0007276359,0.1759695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3949964,"threshold_uncertainty_score":0.9994641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009910130593056492,"score_gpt":0.2761542385222307,"score_spread":0.2662441079291742,"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."}}