{"id":"W2246717248","doi":"10.1177/0973174115588841","title":"Individual and Ecological Variation in Child Undernutrition in India","year":2015,"lang":"en","type":"article","venue":"Journal of South Asian Development","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Anthropometry; Underweight; Malnutrition; Wasting; Medicine; Demography; Standard score; Body mass index; Environmental health; Pediatrics; Overweight; Statistics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007275507,0.00009197079,0.0001920765,0.0005003703,0.00003573663,0.00006708551,0.00009727412,0.0000985111,0.00001104996],"category_scores_gemma":[0.00008696091,0.00008095618,0.00002131015,0.0002172389,0.00001873369,0.0002253676,0.00003341206,0.0002894235,0.000004728939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002573464,"about_ca_system_score_gemma":0.00006246195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002471342,"about_ca_topic_score_gemma":0.00001662127,"domain_scores_codex":[0.9988201,0.00009333987,0.000531752,0.0001101868,0.0002844975,0.0001601624],"domain_scores_gemma":[0.9995565,0.00001954525,0.0002051086,0.00003730672,0.00005433075,0.000127187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007159619,0.0008910008,0.927197,0.00004563516,0.00002938994,0.0001999003,0.06026962,0.00002914175,0.00002259689,0.00008952842,0.0004614861,0.01004869],"study_design_scores_gemma":[0.004113704,0.0001209672,0.9921408,0.0001796436,0.000006219346,0.000129264,0.001141612,0.000006937775,0.000241184,0.001213835,0.0006042267,0.0001015667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957945,0.00009616496,0.00006968306,0.002979506,0.0002843736,0.0001419254,0.000001974209,0.000006764678,0.0006250694],"genre_scores_gemma":[0.9964856,0.000004435928,0.003047296,0.0003306106,0.0001134572,0.000002930406,0.000006249802,0.000006476002,0.000002946132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0649438,"threshold_uncertainty_score":0.3301297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02725803174208137,"score_gpt":0.2555896382752647,"score_spread":0.2283316065331833,"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."}}