{"id":"W4392553218","doi":"10.1111/mcn.13638","title":"Early childhood development and nutritional status in urban Ethiopia","year":2024,"lang":"en","type":"article","venue":"Maternal and Child Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Eli Lilly and Company","keywords":"Medicine; Underweight; Wasting; Anthropometry; Gross motor skill; Odds ratio; Malnutrition; Confidence interval; Confounding; Logistic regression; Environmental health; Malnutrition in children; Demography; Pediatrics; Motor skill; Body mass index; Overweight; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00009807041,0.0001851044,0.0001718909,0.0003018852,0.0001600059,0.000373894,0.00005946019,0.0001042525,0.00003960232],"category_scores_gemma":[0.000004707561,0.0001765858,0.00003612224,0.0001628299,0.00005522711,0.0003396025,0.00004333342,0.0002788916,0.00002166381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006224554,"about_ca_system_score_gemma":0.000008649193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008703048,"about_ca_topic_score_gemma":0.00002077666,"domain_scores_codex":[0.9987875,0.00004368994,0.0002938788,0.000368575,0.00020488,0.0003014825],"domain_scores_gemma":[0.9997284,0.00002766338,0.00002660309,0.00006875142,0.00002122207,0.000127297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002083548,0.00327693,0.8594199,0.00803608,0.0001867128,0.0005243025,0.022284,0.000002960447,0.002217806,0.0126425,0.005775993,0.08354928],"study_design_scores_gemma":[0.002422408,0.000103758,0.9373577,0.00222484,0.00001392974,0.0001970981,0.00004153468,0.00004058451,0.01224639,0.004818629,0.0402761,0.0002570314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891182,0.006177049,0.00001389879,0.003366839,0.0003944643,0.000317789,0.00006023739,0.0001337541,0.0004178223],"genre_scores_gemma":[0.9979493,0.0005694799,0.0003524042,0.0004992238,0.0004424112,0.00003459278,0.00009192169,0.00002429442,0.00003634587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08329225,"threshold_uncertainty_score":0.7200961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00747499973172177,"score_gpt":0.2266167142652315,"score_spread":0.2191417145335097,"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."}}