{"id":"W4318938821","doi":"10.1016/j.heliyon.2023.e13453","title":"Is stunting in children under five associated with the state of vegetation in the Democratic Republic of the Congo? Secondary analysis of Demographic Health Survey data and the satellite-derived leaf area index","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Direktoratet for Utviklingssamarbeid","keywords":"Confidence interval; Odds ratio; Geography; Vegetation (pathology); Demography; Logistic regression; Medicine; Environmental health","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":[0.001653662,0.0002728064,0.0004703269,0.001821585,0.0004505,0.0008123105,0.000523581,0.0003298573,0.001579922],"category_scores_gemma":[0.005688496,0.0002516715,0.0008201591,0.003779752,0.0004822711,0.0004939785,0.0007914101,0.0005751355,0.0002262637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009656445,"about_ca_system_score_gemma":0.0006231697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08043893,"about_ca_topic_score_gemma":0.08015074,"domain_scores_codex":[0.9981522,0.0008617275,0.0002020573,0.0003177643,0.0001630729,0.0003031727],"domain_scores_gemma":[0.9959667,0.0009105946,0.002183229,0.0002933966,0.0003448281,0.0003013984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002043873,0.000008900536,0.9990614,0.00001939589,0.00004714337,0.00002271012,0.0001142216,0.0000528102,0.00002985186,0.00002087383,0.00008712937,0.0005151493],"study_design_scores_gemma":[0.000001117803,0.00001678471,0.9991628,0.00002024526,0.00002156834,0.00003510369,0.0003656333,0.0001476553,0.00002140935,0.00001121089,0.0001941884,0.000002282878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940997,0.0004222689,0.0001945859,0.0001195945,0.000006089429,0.00002338637,0.004573749,0.000004387742,0.0005563021],"genre_scores_gemma":[0.9975037,0.0001282367,0.0001232488,0.00002494803,0.000005691303,0.00003622275,0.002064937,0.000001919889,0.0001110063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08043893,"threshold_uncertainty_score":0.1599414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03361163876305034,"score_gpt":0.2868994119231941,"score_spread":0.2532877731601437,"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."}}