{"id":"W3081313108","doi":"10.1111/mcn.12770","title":"Reducing malnutrition in Cambodia. A modeling exercise to prioritize multisectoral interventions","year":2020,"lang":"en","type":"article","venue":"Maternal and Child Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Council of Ministers of Education","funders":"UNICEF","keywords":"Wasting; Malnutrition; Sanitation; Environmental health; Medicine; Psychological intervention; Poverty; Hygiene; Child mortality; Socioeconomic status; Inequality; Socioeconomics; Population; Economic growth; Economics","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":[0.00109885,0.000564257,0.0004243372,0.0005404737,0.0004432011,0.001004359,0.0006273321,0.0004727404,0.003539061],"category_scores_gemma":[0.001230825,0.0003425373,0.0004060111,0.0005432537,0.0003124516,0.0006984673,0.001033371,0.0004069106,0.0001051017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001910229,"about_ca_system_score_gemma":0.003585897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04680723,"about_ca_topic_score_gemma":0.07692495,"domain_scores_codex":[0.9997212,0.0002011949,0.000007138503,0.0000215044,0.00001273332,0.00003612134],"domain_scores_gemma":[0.9997984,0.0001149516,0.0000317362,0.000006682445,0.00001708365,0.00003132425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003418552,0.0003700152,0.09008145,0.00193766,0.0006026495,0.0009543533,0.001512293,0.6909022,0.001948846,0.02402101,0.008370582,0.1789571],"study_design_scores_gemma":[0.0001786134,0.0007362182,0.03321445,0.001043074,0.0003642178,0.0001867723,0.004544966,0.9224252,0.0005999911,0.02388944,0.01277308,0.00004404134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8198885,0.01427424,0.08884862,0.0351958,0.0002472269,0.001165767,0.001989624,0.0004525604,0.03793757],"genre_scores_gemma":[0.9594099,0.004374159,0.03249089,0.0005866292,0.00003040795,0.0005148038,0.0002200635,0.00001529494,0.002357778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04680723,"threshold_uncertainty_score":0.09306955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02948066252153925,"score_gpt":0.278736830010554,"score_spread":0.2492561674890147,"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."}}