{"id":"W2103111112","doi":"10.12927/whp.2010.22038","title":"Mortality, Nutrition and Health in Lofa County Liberia 5 Years Post-Conflict","year":2010,"lang":"en","type":"article","venue":"World health & population","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanitation; Environmental health; Malnutrition; Mortality rate; Population; Medicine; Public health; Geography; Socioeconomics; Nursing; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002533682,0.0002254403,0.0006053786,0.0004302823,0.001054055,0.0000183106,0.000105381,0.0001924741,0.0001407754],"category_scores_gemma":[0.0001065467,0.0002386836,0.00004291028,0.000545492,0.00005489916,0.0002355247,0.00008147709,0.001283033,0.00006200396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004360885,"about_ca_system_score_gemma":0.0007691209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06840515,"about_ca_topic_score_gemma":0.1575482,"domain_scores_codex":[0.9964064,0.0004332707,0.001360205,0.0004589666,0.0002967207,0.00104448],"domain_scores_gemma":[0.9981988,0.0001809719,0.000586644,0.0003647157,0.0001455059,0.0005233273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007274086,0.0001589156,0.9222975,0.001621342,0.00001032324,0.000002358498,0.01432871,0.000001486326,0.00002731302,0.00925306,0.009001396,0.04322487],"study_design_scores_gemma":[0.0009547744,0.00006716359,0.7269515,0.0002810824,0.000002882415,0.000001057755,0.0002973956,0.00009680723,2.274426e-7,0.0003920083,0.2708279,0.000127229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8676674,0.001430011,0.00001946162,0.1250243,0.001749306,0.003019911,0.0001183478,0.000184957,0.0007863343],"genre_scores_gemma":[0.9443662,0.0011999,0.000652998,0.05163124,0.0007024404,0.0003307367,0.000466807,0.00004355314,0.000606142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2618265,"threshold_uncertainty_score":0.9733234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09957083433387724,"score_gpt":0.4697624508455951,"score_spread":0.3701916165117178,"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."}}