{"id":"W2915236189","doi":"10.1289/isee.2011.00275","title":"MERCURY EXPOSURE IN REMOTE FISH EATING POPULATIONS AND CARDIOVASCULAR RISK FACTORS","year":2011,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Birth, Development, and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Mercury (programming language); Blood pressure; Confounding; Medicine; Methylmercury; Arctic; Physiology; Environmental health; Biology; Internal medicine; Ecology; Bioaccumulation","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":[0.0001731818,0.0002091659,0.0001891798,0.0003111336,0.0004474559,0.0003445658,0.0001767445,0.0002815765,0.002366813],"category_scores_gemma":[0.000450932,0.0001002568,0.0002137673,0.0004054128,0.0003197924,0.0001400354,0.000289095,0.0003123974,0.0001535807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002630632,"about_ca_system_score_gemma":0.0002444425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03854372,"about_ca_topic_score_gemma":0.03889724,"domain_scores_codex":[0.9998975,0.00001832635,0.000006414296,0.00003869235,0.00001952493,0.00001952696],"domain_scores_gemma":[0.9997141,0.00003596873,0.0001128803,0.00002097435,0.00003500956,0.00008110041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009176211,0.0000352497,0.9963222,0.00001846733,0.00007345275,0.0001392293,0.0002537727,0.00003110257,0.001416169,0.00002240516,0.00005560937,0.001540607],"study_design_scores_gemma":[0.000001275719,0.00004194387,0.9995802,0.000003076273,0.00001318269,0.0001077954,0.0001172151,0.00002419034,0.00003589467,0.00001410971,0.00005992109,0.000001052297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99933,0.0001346059,0.00003243102,0.00003282398,0.000002148042,0.000002577872,0.00008172043,0.0000022007,0.0003814107],"genre_scores_gemma":[0.9995869,0.0000677615,0.00004862364,0.00001682778,0.000004528305,0.000002144537,0.00007586584,9.463282e-7,0.0001963302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03854372,"threshold_uncertainty_score":0.0766387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09708160339010195,"score_gpt":0.2937003792434291,"score_spread":0.1966187758533272,"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."}}