{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002724,0.0004404845,0.0006949248,0.001075667,0.0005827878,0.001065474,0.0004313004,0.0004990185,0.002044253],"category_scores_gemma":[0.01266306,0.0003531614,0.001409156,0.002837181,0.0008989049,0.0007487222,0.001550011,0.001019589,0.0002268984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000768806,"about_ca_system_score_gemma":0.0008117561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0722063,"about_ca_topic_score_gemma":0.06418391,"domain_scores_codex":[0.9984875,0.0007585706,0.0001103767,0.0002261372,0.0001338986,0.0002835461],"domain_scores_gemma":[0.9952791,0.002053207,0.001502495,0.0003918168,0.0002875382,0.0004858978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000579964,0.000007673443,0.9919873,0.00004690331,0.0004702491,0.0001678601,0.0003328742,0.0002204889,0.00005253523,0.0005822781,0.0005849617,0.005488842],"study_design_scores_gemma":[0.000008492089,0.00003539508,0.9957461,0.0001573043,0.0003940735,0.0001710694,0.001104592,0.0003695205,0.00008237283,0.0005284258,0.001392827,0.000009816848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784245,0.01112079,0.000677642,0.003961655,0.0001383914,0.00001404862,0.001933273,0.000007545849,0.003722069],"genre_scores_gemma":[0.9952518,0.003392002,0.0002048811,0.0002597238,0.00003605896,0.000008205659,0.000529507,0.000006398257,0.0003114779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0722063,"threshold_uncertainty_score":0.143572,"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."}}