{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003801191,0.0001635026,0.0003563869,0.0001290537,0.0001113483,0.00002015918,0.00006527713,0.0001539627,0.0001185499],"category_scores_gemma":[0.0002119355,0.0001476272,0.00007735898,0.000117419,0.00005226152,0.000139982,0.00002620446,0.0003734846,0.00001495477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003785875,"about_ca_system_score_gemma":0.0002228768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005236038,"about_ca_topic_score_gemma":0.001578276,"domain_scores_codex":[0.9987272,0.00005206826,0.0003824658,0.0003103186,0.0002246391,0.0003033178],"domain_scores_gemma":[0.9992428,0.00003298001,0.0001154957,0.0003004826,0.00009306306,0.0002151757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003595352,0.00007796644,0.9662451,0.000146819,0.0001193143,0.00008811304,0.0088598,0.00007344937,0.0001237578,0.001512477,0.00009247302,0.02262483],"study_design_scores_gemma":[0.0006181729,0.00006824268,0.9944522,0.0002079385,0.00006961029,0.00001604817,0.001023128,0.00002952989,0.0002387085,0.002951385,0.0001738384,0.0001511376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848648,0.0002918858,0.0001048104,0.00009252058,0.0001353351,0.0003038546,0.00001172075,0.00005164979,0.01414346],"genre_scores_gemma":[0.9909567,0.005980799,0.002809031,0.0001347879,0.00004625314,0.000003851376,0.00002689812,0.00001653388,0.00002513249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02820721,"threshold_uncertainty_score":0.7915357,"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."}}