{"id":"W4389042689","doi":"10.1029/2023gh000897","title":"Prenatal Exposure to Heavy Metals and Adverse Birth Outcomes: Evidence From an E‐Waste Area in China","year":2023,"lang":"en","type":"article","venue":"GeoHealth","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"Zhejiang Province Public Welfare Technology Application Research Project; Japan Society for the Promotion of Science; Science and Technology Bureau of Jiaxing City","keywords":"China; Heavy metals; Prenatal exposure; Adverse effect; Environmental health; Obstetrics; Medicine; Pregnancy; Environmental science; Environmental chemistry; Geography; Gestation; Internal medicine; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001400043,0.0004772025,0.0004874513,0.00177686,0.000752589,0.0007478943,0.0005620364,0.0004546419,0.001522582],"category_scores_gemma":[0.002164819,0.0003654304,0.000894299,0.002938135,0.0005979246,0.0003680905,0.0007209239,0.0003461932,0.0001083801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007206588,"about_ca_system_score_gemma":0.001548719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06880032,"about_ca_topic_score_gemma":0.0564271,"domain_scores_codex":[0.9991198,0.000222709,0.0001495126,0.0001976145,0.0002061477,0.0001041934],"domain_scores_gemma":[0.9975767,0.0006313523,0.0009251378,0.0001459122,0.0004467448,0.000274273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000052459,0.00003860732,0.9947009,0.0001753525,0.0002639471,0.0002035007,0.000292125,0.00006148263,0.0001917621,0.00006389526,0.0001074335,0.003848443],"study_design_scores_gemma":[0.000007371992,0.00005710872,0.9986171,0.00007011528,0.0001945861,0.00009130046,0.0003492869,0.0001442442,0.00007784797,0.0000287555,0.000357995,0.000004417805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958275,0.00294715,0.0001337106,0.0002157049,0.00001087486,0.000008584252,0.0002757687,0.000002837814,0.0005779145],"genre_scores_gemma":[0.9977108,0.001753179,0.00007760359,0.00007690551,0.00001157223,0.000007472118,0.0002034351,0.000001327087,0.0001577344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06880032,"threshold_uncertainty_score":0.1367998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726185768808035,"score_gpt":0.2984466692059264,"score_spread":0.2711848115178461,"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."}}