{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004519403,0.0001538931,0.0002549571,0.001238129,0.0003507185,0.0006901241,0.0003761981,0.000144124,0.0007073645],"category_scores_gemma":[0.001036366,0.000172231,0.0003845451,0.002090453,0.0006419882,0.0001648371,0.0008737909,0.0002539304,0.000128657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006137842,"about_ca_system_score_gemma":0.0004745943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0467424,"about_ca_topic_score_gemma":0.06317504,"domain_scores_codex":[0.9994018,0.0001996575,0.0000374885,0.0001441693,0.00009577507,0.0001210157],"domain_scores_gemma":[0.9991813,0.00021894,0.0002713607,0.0001438817,0.00009249891,0.00009199087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004562099,0.00001069998,0.9940349,0.00001574316,0.0001092242,0.00009550872,0.001136077,0.0003494995,0.0004904218,0.0001722602,0.0000973854,0.003442685],"study_design_scores_gemma":[3.952817e-7,0.000006936633,0.9992532,0.000003092625,0.00001004586,0.00005860283,0.0004071751,0.0001030518,0.00002484303,0.00002981604,0.00009981843,0.000002999204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990475,0.00007861499,0.00009398715,0.00002376342,0.000001693609,0.000002561647,0.0001889442,0.000005965797,0.0005570495],"genre_scores_gemma":[0.9996721,0.00005604064,0.00008256166,0.000006339311,0.000001352218,0.000002522325,0.0001187733,0.000002329501,0.00005821144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0467424,"threshold_uncertainty_score":0.09294069,"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."}}