{"id":"W2272701738","doi":"10.1002/hec.3823","title":"How much does birth weight matter for child health in developing countries? Estimates from siblings and twins","year":2018,"lang":"en","type":"article","venue":"Health Economics","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; National Institute on Aging; Harvard University","keywords":"Wasting; Instrumental variable; Developing country; Medicine; Birth weight; Low birth weight; Estimation; Child health; Demography; Environmental health; Sibling; Selection bias; Pediatrics; Psychology; Developmental psychology; Pregnancy; Economics; Econometrics; Biology; Economic growth","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":[0.0002776227,0.0001977258,0.0004407377,0.000230568,0.0004162035,0.0002964133,0.0001309284,0.00008562261,0.00003444392],"category_scores_gemma":[0.00001685183,0.0001800695,0.0000348494,0.00008491126,0.0000923828,0.0003714039,0.00004594194,0.0001255167,0.00002050318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003728788,"about_ca_system_score_gemma":0.0001179192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000998151,"about_ca_topic_score_gemma":0.004403174,"domain_scores_codex":[0.9984536,0.00003447118,0.0004859091,0.0004519576,0.00003669227,0.0005373417],"domain_scores_gemma":[0.9991753,0.0001533403,0.0002570164,0.000192336,0.00004237379,0.0001796664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00128108,0.0002263439,0.9044995,0.002885035,0.00006566434,0.000001144476,0.01200065,0.00000444537,0.000003852414,0.00673163,0.05876776,0.01353293],"study_design_scores_gemma":[0.003850553,0.0002330407,0.1466654,0.0006197711,0.000006065774,0.00001226697,0.0002170813,0.002449112,0.001851477,0.01620954,0.8274052,0.0004804919],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5856461,0.0005968852,0.0006814371,0.4111139,0.0009269821,0.0006284925,0.0003133773,0.00005290286,0.00003997963],"genre_scores_gemma":[0.765978,0.003581712,0.02225677,0.2060018,0.00164739,0.00007264088,0.0003174746,0.0001010704,0.00004321467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7686374,"threshold_uncertainty_score":0.734302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194521189871164,"score_gpt":0.2877923458184187,"score_spread":0.2683402268313023,"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."}}