{"id":"W153637635","doi":"","title":"[Effect of cigarette smoking on blood lead levels in pregnant women].","year":2013,"lang":"en","type":"article","venue":"PubMed","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cotinine; Tobacco smoke; Passive smoking; Pregnancy; Blood lead level; Obstetrics; Environmental health; Nicotine; Lead exposure; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000199414,0.0002687582,0.0001758768,0.0002088725,0.0001448569,0.0001577363,0.0001912948,0.0003828663,0.002955659],"category_scores_gemma":[0.0007822709,0.0001482621,0.0001913727,0.0002560033,0.0001049449,0.00008830907,0.000120556,0.0003079139,0.0004505494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008919415,"about_ca_system_score_gemma":0.0002086719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470278,"about_ca_topic_score_gemma":0.001282299,"domain_scores_codex":[0.9998699,0.00004565721,0.00001078248,0.00002699132,0.0000292471,0.00001751879],"domain_scores_gemma":[0.9997347,0.0001126851,0.0000663297,0.00001819943,0.00003292545,0.00003517453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006225534,0.0006390178,0.9223111,0.0004559124,0.0002503744,0.001444991,0.0002695646,0.0001020518,0.01023584,0.00006587443,0.001418622,0.05658096],"study_design_scores_gemma":[0.00007472684,0.003168445,0.9905122,0.00004946384,0.0001901827,0.002359132,0.00009298576,0.0001844077,0.00159941,0.0001063339,0.001657113,0.000005610584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881479,0.006548041,0.0002359149,0.0003920482,0.0001345937,0.00006864617,0.0009534846,0.00002936757,0.003489981],"genre_scores_gemma":[0.9931442,0.003052077,0.0003502315,0.0003216626,0.00008074157,0.00006849626,0.000624137,0.00000676529,0.002351784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002955659,"threshold_uncertainty_score":0.009887636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588785584020028,"score_gpt":0.2114752902298924,"score_spread":0.1955874343896921,"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."}}