{"id":"W2349254748","doi":"","title":"Polychlorinated biphenyls (PCBs) in human milk from two major electronic waste (e-waste) recycling areas in Taizhou,China","year":2014,"lang":"en","type":"article","venue":"Environmental Chemistry","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronic waste; Breast milk; Human breast milk; Congener; Wet weight; Human health; Body weight; China; Animal science; Environmental health; Environmental chemistry; Toxicology; Chemistry; Biology; Medicine; Geography; Ecology; Endocrinology","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":[0.0003204846,0.0004313039,0.0002565787,0.001063662,0.0006935688,0.0003949582,0.0003113591,0.0003438288,0.0003583895],"category_scores_gemma":[0.0004601751,0.0003413338,0.0003438796,0.001312669,0.0004440319,0.0002101899,0.0004503259,0.0001353435,0.00006418426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081848,"about_ca_system_score_gemma":0.0009045282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05378734,"about_ca_topic_score_gemma":0.07774429,"domain_scores_codex":[0.9997316,0.00003970749,0.00003349661,0.0000677352,0.00007620548,0.00005125639],"domain_scores_gemma":[0.9997466,0.000040942,0.00009951092,0.00001019976,0.00005874197,0.00004401131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000115395,0.00003667995,0.9803474,0.00005106518,0.00006066628,0.0007855982,0.001253966,0.0001154678,0.01308522,0.00001918677,0.00007116768,0.004058196],"study_design_scores_gemma":[0.000006382854,0.00004986468,0.998143,0.000002464908,0.00002121977,0.000192929,0.0005745394,0.00009625519,0.0008072199,0.000009122653,0.0000944256,0.000002531366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998212,0.00004621726,0.00003455912,0.00001082704,7.618237e-7,0.00000263074,0.00004336132,0.000001352536,0.00003914317],"genre_scores_gemma":[0.9992624,0.0001042461,0.0001072324,0.00003393042,0.000002703445,0.000007477433,0.0002473962,0.000001011722,0.0002335403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05378734,"threshold_uncertainty_score":0.1069486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003624532505038811,"score_gpt":0.202960019668061,"score_spread":0.1993354871630222,"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."}}