{"id":"W2140312243","doi":"","title":"High fish consumption in French Polynesia and prenatal exposure to metals and nutrients.","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval","funders":"","keywords":"Mercury (programming language); Nutrient; Polyunsaturated fatty acid; Selenium; Methylmercury; Micronutrient; MERCURY EXPOSURE; Toxicology; Environmental chemistry; Umbilical cord; Fish consumption; Food science; Animal science; Physiology; Environmental health; Chemistry; Biology; Fatty acid; Medicine; Bioaccumulation; Fish <Actinopterygii>; Ecology; Fishery; Biomonitoring; Biochemistry; Immunology","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":[0.0001792951,0.0001835135,0.000149923,0.0004071378,0.0004178135,0.0002909026,0.0001909111,0.000326731,0.002743472],"category_scores_gemma":[0.000600155,0.000157305,0.0002239726,0.0008109578,0.0001724758,0.0001205077,0.0002373574,0.0001803533,0.0001349625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171805,"about_ca_system_score_gemma":0.0008760619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3849452,"about_ca_topic_score_gemma":0.3980874,"domain_scores_codex":[0.9998873,0.00002436027,0.00001309056,0.00003190283,0.00002026446,0.00002302417],"domain_scores_gemma":[0.9996839,0.00004502138,0.0001568472,0.00001072583,0.0000378535,0.00006574105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001781977,0.00002194709,0.9915307,0.0001360584,0.000105521,0.000404106,0.0003618873,0.00001582005,0.0005824031,0.00003235882,0.0003220009,0.006308956],"study_design_scores_gemma":[0.00000288327,0.00002915445,0.9989855,0.0000215862,0.00002842284,0.0001650599,0.0002370589,0.00001427389,0.00002605067,0.000006617385,0.0004817766,0.000001442054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907353,0.006232172,0.00005188227,0.0003778551,0.00001147336,0.000009488094,0.001239656,0.000004497684,0.00133761],"genre_scores_gemma":[0.9942231,0.00378132,0.0001504274,0.0001232997,0.000006272635,0.00001895941,0.0004762756,0.00000166663,0.001218679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3849452,"threshold_uncertainty_score":0.7654091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444048155411129,"score_gpt":0.2200942642053618,"score_spread":0.1956537826512505,"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."}}