{"id":"W3108451342","doi":"10.3390/children7110239","title":"Tackling Childhood Stunting in the Eastern Mediterranean Region in the Context of COVID-19","year":2020,"lang":"en","type":"review","venue":"Children","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"World Health Organization","keywords":"Malnutrition; Context (archaeology); Pandemic; Environmental health; Coronavirus disease 2019 (COVID-19); Geography; Stunted growth; Economic growth; Socioeconomics; Medicine; Environmental protection; Disease; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009139764,0.0004412307,0.00129783,0.0003320314,0.0001351946,0.0001505795,0.001593809,0.0002437166,0.00001129619],"category_scores_gemma":[0.0004005869,0.0002563171,0.000443426,0.0008643813,0.000114121,0.0001309835,0.0001227733,0.001158778,0.00002066267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001079371,"about_ca_system_score_gemma":0.00008462293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000398844,"about_ca_topic_score_gemma":0.0001504818,"domain_scores_codex":[0.996334,0.001273858,0.001056816,0.0005288487,0.0004552094,0.000351258],"domain_scores_gemma":[0.998016,0.0006919031,0.0005742919,0.0006133322,0.00002135735,0.00008310084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005985258,0.0004937216,0.008301138,0.006976543,0.0001051146,0.0001004412,0.05386188,0.000002059374,7.022446e-8,0.00008808397,0.005228913,0.9247822],"study_design_scores_gemma":[0.002628699,0.0001312333,0.003991056,0.01648339,0.0004695058,0.0006446037,0.001905932,0.00002195746,0.000002254394,0.0002558872,0.9728488,0.0006167272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002626144,0.9843196,0.00001236781,0.009279079,0.0004003235,0.002901234,0.0000651318,0.00004840209,0.0003477329],"genre_scores_gemma":[0.1194632,0.8693912,0.00001151088,0.008589888,0.001676943,0.0001093371,0.0006631063,0.00008928859,0.000005484946],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9676198,"threshold_uncertainty_score":0.9999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06998996640717925,"score_gpt":0.3433428073622741,"score_spread":0.2733528409550948,"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."}}