{"id":"W3148038931","doi":"10.14264/3c9591f","title":"Assessing early-life human exposure to selected pesticides using urinary biomarkers","year":2021,"lang":"en","type":"dissertation","venue":"The University of Queensland","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomonitoring; Pesticide; Urine; Atrazine; Metabolite; Ingestion; Toxicology; Population; Environmental chemistry; Reference dose; Chemistry; Environmental health; Medicine; Risk assessment; Biology; Agronomy; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005987119,0.0005944524,0.0003508437,0.001297711,0.0002829126,0.0007432647,0.0004004604,0.0007518642,0.001259734],"category_scores_gemma":[0.001004801,0.000289812,0.000496677,0.001006221,0.0001782812,0.0004022409,0.0003988401,0.0004385455,0.0005310068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003763427,"about_ca_system_score_gemma":0.0003241397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005496041,"about_ca_topic_score_gemma":0.008141865,"domain_scores_codex":[0.9995518,0.00009320578,0.00004175319,0.0001141932,0.000145787,0.00005329859],"domain_scores_gemma":[0.9995153,0.00006641236,0.0001866265,0.00002371377,0.000170123,0.00003790202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002811258,0.000198122,0.9024267,0.0004824759,0.0002697287,0.0005103073,0.0002813152,0.0006160846,0.03690432,0.0002172098,0.001353948,0.05645861],"study_design_scores_gemma":[0.00001336709,0.001682937,0.9396809,0.0002201191,0.0003137345,0.00237307,0.0004800912,0.001751973,0.03926825,0.0004486007,0.01372589,0.00004096409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599963,0.01673194,0.008155039,0.0003672696,0.00007313406,0.0001472775,0.008688148,0.0002517694,0.005588999],"genre_scores_gemma":[0.9774465,0.006743151,0.008104678,0.0002907712,0.00003666616,0.0001048477,0.002409995,0.00001904417,0.004844195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005496041,"threshold_uncertainty_score":0.01092815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144074833954139,"score_gpt":0.2515830388100643,"score_spread":0.2201422904705229,"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."}}