{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005785561,0.0002319145,0.0002368626,0.0007593875,0.0009359163,0.0007866413,0.0003722842,0.0004519435,0.001186081],"category_scores_gemma":[0.001811706,0.0002473107,0.0002392973,0.0006136438,0.000497663,0.0005609743,0.0009735261,0.000816461,0.0002464908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331028,"about_ca_system_score_gemma":0.0007482508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03995662,"about_ca_topic_score_gemma":0.06080891,"domain_scores_codex":[0.9996093,0.0001116397,0.00001834813,0.00002997503,0.00002714695,0.0002035767],"domain_scores_gemma":[0.999312,0.00006674893,0.0002881774,0.00001814496,0.00007952618,0.0002353301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001845606,0.000201556,0.9948985,0.000009309168,0.00002399718,0.0002256573,0.001391852,0.00004891933,0.0001204539,0.00002519799,0.0002715004,0.002598505],"study_design_scores_gemma":[0.000013785,0.0003285197,0.9957722,0.00001686403,0.00001132664,0.0001366696,0.003174903,0.0001084816,0.00005131635,0.00001713424,0.0003633558,0.000005478601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999662,0.00006865486,0.000005872543,0.00009666176,0.000002450472,0.000001768087,0.00006067559,4.422755e-7,0.0001014421],"genre_scores_gemma":[0.999355,0.00009466819,0.00001828973,0.00005285591,0.000006283086,0.000007882596,0.000186527,4.92049e-7,0.0002779095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03995662,"threshold_uncertainty_score":0.0794481,"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."}}