{"id":"W1985347298","doi":"10.1016/j.jpeds.2010.01.020","title":"Hair Mercury Levels of Women of Reproductive Age in Ontario, Canada: Implications to Fetal Safety and Fish Consumption","year":2010,"lang":"en","type":"article","venue":"The Journal of Pediatrics","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; Western University","funders":"","keywords":"Mercury (programming language); Medicine; Pregnancy; Fish consumption; MERCURY EXPOSURE; Toxicology; Environmental health; Physiology; Animal science; Fish <Actinopterygii>; Fishery; Biology; Ecology; Biomonitoring","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001985521,0.0002067477,0.0002465782,0.0006404283,0.00203907,0.0005780515,0.0005731701,0.0004419126,0.001694678],"category_scores_gemma":[0.0008231916,0.0003123551,0.0002530697,0.002088341,0.000571707,0.0002101707,0.0004179135,0.0003989141,0.0002605466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0129499,"about_ca_system_score_gemma":0.01385124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916772,"about_ca_topic_score_gemma":0.9963755,"domain_scores_codex":[0.9997128,0.00002116094,0.00001149424,0.00003840923,0.0001123389,0.0001038645],"domain_scores_gemma":[0.9995856,0.00003085593,0.0000716559,0.000008065456,0.000188421,0.0001154853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001232225,0.00003140895,0.9842027,0.00004705577,0.00002666523,0.00029845,0.004757264,0.00006860693,0.001324945,0.00009681965,0.001145558,0.007877368],"study_design_scores_gemma":[0.00000396269,0.00002877832,0.9960613,0.00001261582,0.000009998408,0.00007731629,0.002706889,0.0000434162,0.00009341328,0.00001320009,0.000945245,0.000003837271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944411,0.0005823842,0.00009234779,0.0004772087,0.000009262064,0.00002257872,0.001736249,0.000008759316,0.002630064],"genre_scores_gemma":[0.9943803,0.0008542913,0.0001829737,0.0001396564,0.000004965058,0.00001491539,0.0004481817,0.000006141076,0.003968588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0129499,"threshold_uncertainty_score":0.09395856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142443987023277,"score_gpt":0.2501050055567912,"score_spread":0.2286805656865585,"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."}}