{"id":"W2796383233","doi":"10.1017/s0022050718000050","title":"Infant Health, Women's Fertility, and Rural Electrification in the United States, 1930–1960","year":2018,"lang":"en","type":"article","venue":"The Journal of Economic History","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Fertility; Rural electrification; Electrification; Infant mortality; Electricity; Rural area; Total fertility rate; Rural population; Socioeconomics; Geography; Demography; Economics; Family planning; Economic growth; Population; Medicine; Developing country; Research methodology; Engineering; Sociology","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":[0.001751989,0.00006686408,0.0001004926,0.00004737229,0.00009667123,0.000006526966,0.0002352163,0.00002374118,0.000607445],"category_scores_gemma":[0.0000130943,0.00004067655,0.00001634779,0.00004083444,0.0003078651,0.0001567521,0.00002000948,0.0001598004,0.00006993283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00188783,"about_ca_system_score_gemma":0.00003447414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120323,"about_ca_topic_score_gemma":0.0005392517,"domain_scores_codex":[0.9992092,0.0002132047,0.0002641474,0.0000547461,0.00007788829,0.0001808019],"domain_scores_gemma":[0.9994586,0.00007576944,0.0002350533,0.0001597347,0.000001770762,0.00006911833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.003481863,0.0008887149,0.08210073,0.00004475758,0.0001804399,0.0000162347,0.4612971,0.118233,0.02175161,0.0008463844,0.2749526,0.03620661],"study_design_scores_gemma":[0.0005625841,0.0006354382,0.6317925,0.00001226813,0.000009575268,0.00005448265,0.00183584,0.0009809326,0.0001240035,0.001378958,0.3624897,0.0001237191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968383,0.000345819,0.00002114791,0.001525368,0.0001185545,0.00005289981,6.296563e-7,0.00000219369,0.001095124],"genre_scores_gemma":[0.9971642,0.0005879086,0.00001608788,0.001917573,0.00004136047,0.000001354517,0.000001407146,0.000004766772,0.0002652858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5496917,"threshold_uncertainty_score":0.6651097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392975481676801,"score_gpt":0.2167795802340287,"score_spread":0.2028498254172607,"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."}}