{"id":"W2139388456","doi":"10.7196/samj.3863","title":"Mercury exposure in a low-income community in South Africa","year":2010,"lang":"en","type":"article","venue":"South African Medical Journal","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"Medicine; Mercury (programming language); Environmental health; Low income; MERCURY EXPOSURE; Socioeconomics; Environmental chemistry; Biomonitoring","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002860218,0.0001936106,0.0003299014,0.0001635602,0.0002916811,0.00004757589,0.0006246599,0.0001783854,0.006160902],"category_scores_gemma":[0.001651571,0.0001506983,0.00009059278,0.0006285154,0.0006037913,0.0001768262,0.0002980916,0.003233189,0.0003079329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001164029,"about_ca_system_score_gemma":0.0001054342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001248912,"about_ca_topic_score_gemma":0.0009625772,"domain_scores_codex":[0.9970965,0.0004746746,0.0005813444,0.0001771392,0.001067604,0.0006026763],"domain_scores_gemma":[0.9985794,0.0002104929,0.0001754745,0.0002824009,0.00001512429,0.0007370493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005052412,0.0002353389,0.8424305,0.0000110025,0.00001416007,0.0002024641,0.1499632,0.00003039623,0.0006091346,0.00003479854,0.000400124,0.006018309],"study_design_scores_gemma":[0.002086271,0.0001630354,0.9534641,0.0001553277,0.00001529769,0.0001387979,0.03887148,0.0001789665,0.00005546948,0.001834462,0.002639744,0.0003970793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862997,0.00005245618,0.00008642322,0.000739192,0.0003408236,0.0001071811,0.000009192202,0.00002158486,0.01234343],"genre_scores_gemma":[0.9990943,0.00001016743,0.0002646351,0.0003346885,0.0001458139,0.0000104799,0.000001310929,0.00001447049,0.0001241215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1110918,"threshold_uncertainty_score":0.9990664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718240139832979,"score_gpt":0.2573292506905462,"score_spread":0.2401468492922164,"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."}}