{"id":"W2116686173","doi":"10.1093/ije/dyp253","title":"Maternal smoking, biofuel smoke exposure and child height-for-age in seven developing countries","year":2009,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"McMaster University","keywords":"Smoke; Developing country; Environmental health; Tobacco smoke; Biofuel; Medicine; Developed country; Cigarette smoke; Passive smoking; Geography; Biology; Population; Biotechnology; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001242953,0.0001170973,0.0002562712,0.00009457338,0.00004551287,0.00001403778,0.0002958482,0.0001052309,0.000187398],"category_scores_gemma":[0.000409885,0.00009442904,0.00005833393,0.0000354449,0.0001322356,0.000252303,0.00006336247,0.0001737496,0.000005746667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934604,"about_ca_system_score_gemma":0.00001092096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007501094,"about_ca_topic_score_gemma":0.00009026741,"domain_scores_codex":[0.9987653,0.0001123999,0.0005662882,0.0001507938,0.0001672435,0.0002379939],"domain_scores_gemma":[0.9991885,0.0003116925,0.0003393207,0.00006698695,0.00001306024,0.00008038658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000150039,0.00003263832,0.9791285,0.000003159549,0.0000463934,0.00009669508,0.0002083897,0.005034674,0.0001352523,0.005434369,0.0004097307,0.009320114],"study_design_scores_gemma":[0.000614457,0.0001526874,0.9442669,0.00007690037,0.000006488558,0.0003832137,0.00001409736,0.00003780467,0.0002471452,0.0247826,0.02931661,0.0001011236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842288,0.0004130509,0.002006981,0.01188839,0.000372592,0.00004332732,0.000005117295,0.000004650123,0.001037107],"genre_scores_gemma":[0.987034,0.001341508,0.004784902,0.006583515,0.0001804185,0.00000140399,0.000005020634,0.000005736877,0.00006351496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03486167,"threshold_uncertainty_score":0.3850705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815893990116724,"score_gpt":0.3005459072898218,"score_spread":0.2723869673886546,"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."}}