{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001440088,0.0002036502,0.0001505137,0.001110061,0.0005451203,0.0003408047,0.0002382321,0.0002664019,0.002541177],"category_scores_gemma":[0.0004915583,0.0002629506,0.000160164,0.001111235,0.0001446694,0.0003704242,0.0002615666,0.000223641,0.0004166021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003734629,"about_ca_system_score_gemma":0.0005142174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05466113,"about_ca_topic_score_gemma":0.086767,"domain_scores_codex":[0.9998957,0.00001946049,0.00001819723,0.00002096431,0.00001685723,0.00002883051],"domain_scores_gemma":[0.9998186,0.00002156065,0.00007137813,0.000007326078,0.00003665436,0.00004437505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004842797,0.00005420361,0.9964401,0.00003087787,0.00000862766,0.0002151668,0.0004578398,0.00002253934,0.0002321543,0.00005180566,0.0005753128,0.001862974],"study_design_scores_gemma":[0.000003969553,0.00003798516,0.9976493,0.00002808489,0.000008889931,0.0003448761,0.001357653,0.00004832245,0.00004306245,0.00001707388,0.0004577375,0.000003004525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947695,0.0002012861,0.00003127239,0.00005047018,0.000007979696,0.00002010345,0.002290744,0.000003433432,0.002625198],"genre_scores_gemma":[0.9952081,0.0005266884,0.0001116517,0.00004030171,0.000007361891,0.00003717324,0.001427538,0.000002048371,0.002639118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05466113,"threshold_uncertainty_score":0.1086859,"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."}}