{"id":"W3135812032","doi":"","title":"Maternal Age and Offspring Human Capital in India","year":2019,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Birth, Development, and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Offspring; Human capital; Panel Study of Income Dynamics; Sibling; Early childhood; Developmental psychology; Demography; Cognition; Psychology; Pregnancy; Fixed effects model; Panel data; Demographic economics; Economics","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":[0.0002709957,0.0001300958,0.0001515451,0.0005357576,0.0003287403,0.0007335728,0.0002642832,0.0001590863,0.002165112],"category_scores_gemma":[0.001226048,0.000142071,0.0002968795,0.0008618852,0.0003198165,0.0002008838,0.0008591687,0.0004362088,0.0002168722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007616324,"about_ca_system_score_gemma":0.0006365554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07196593,"about_ca_topic_score_gemma":0.06927748,"domain_scores_codex":[0.9998187,0.0000397488,0.00001010633,0.00003218032,0.00002702368,0.00007222166],"domain_scores_gemma":[0.9992936,0.0001966557,0.000249434,0.00008574342,0.00005386893,0.0001207702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005251673,0.00002269621,0.9926324,0.00001703634,0.00005370703,0.0003153219,0.0008168936,0.0002863224,0.0001217036,0.0007354578,0.0005278544,0.00441804],"study_design_scores_gemma":[0.000001175336,0.00001556225,0.9986333,0.00001568064,0.0000278843,0.0001148228,0.0004231432,0.0001482162,0.00004469747,0.00008124988,0.0004907929,0.000003350888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968132,0.0006096576,0.00005282974,0.0003167602,0.000009441871,0.000002345053,0.0004769322,0.000007129138,0.001711685],"genre_scores_gemma":[0.9991382,0.0003100815,0.00002604891,0.0000245096,0.000004780865,0.000001315379,0.000160661,0.000001301367,0.0003329726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07196593,"threshold_uncertainty_score":0.1430941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338902603184168,"score_gpt":0.2574803667625662,"score_spread":0.2440913407307245,"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."}}