{"id":"W2135960223","doi":"10.1080/15287390902929741","title":"Biomonitoring of Genotoxic Risk in Agricultural Workers from Five Colombian Regions: Association to Occupational Exposure to Glyphosate","year":2009,"lang":"en","type":"article","venue":"Journal of Toxicology and Environmental Health","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biomonitoring; Glyphosate; Agriculture; Occupational exposure; Environmental health; Environmental chemistry; Geography; Medicine; Biology; Chemistry; Biotechnology; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.000335064,0.00009610033,0.0002181336,0.00007628449,0.00006972292,0.000006595798,0.00007851962,0.0001306901,0.000007288269],"category_scores_gemma":[0.00003647677,0.00008704785,0.00005583631,0.00007516222,0.00001799786,0.00000747616,0.00003880068,0.0001299254,0.000001216208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002933639,"about_ca_system_score_gemma":0.00006548161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001387045,"about_ca_topic_score_gemma":0.0003214667,"domain_scores_codex":[0.9990009,0.0001236389,0.0003869148,0.0001556865,0.0001458732,0.0001870071],"domain_scores_gemma":[0.9993516,0.0000272326,0.0003652097,0.00007683546,0.00001591401,0.0001631936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004665247,0.000248091,0.3338286,0.000004067695,0.00004839268,0.000004667647,0.0006113682,0.001188825,0.6581004,0.000003500672,0.001118728,0.004376902],"study_design_scores_gemma":[0.000663541,0.003075277,0.9704801,0.00002599309,0.00001198543,0.00001256917,0.0009333869,0.000003594634,0.02418324,0.00003824164,0.0004887203,0.00008331276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973449,0.0006305919,0.0001678911,0.001404946,0.0001543704,0.0001967566,0.00009072385,9.931688e-7,0.0000088713],"genre_scores_gemma":[0.9973144,0.0003978027,0.001354309,0.0007049374,0.0001417836,0.000003558807,0.0000323346,0.000003914407,0.0000469675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6366516,"threshold_uncertainty_score":0.3549708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007849522746425378,"score_gpt":0.267522855941595,"score_spread":0.2596733331951697,"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."}}