{"id":"W3111427717","doi":"10.1016/j.envint.2020.106257","title":"Towards a systematic use of effect biomarkers in population and occupational biomonitoring","year":2020,"lang":"en","type":"review","venue":"Environment International","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Canada; Deutsche Forschungsgemeinschaft; European Chemical Industry Council","keywords":"Biomonitoring; Adverse Outcome Pathway; Exposure assessment; Risk assessment; Population; Biomarker; Hazard; Risk analysis (engineering); Environmental health; Medicine; Computer science; Biology; Computational biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002357022,0.0002658314,0.0007707695,0.0001065818,0.00002249778,0.00003247041,0.0002094942,0.00009864112,0.0001924662],"category_scores_gemma":[0.0002337571,0.0002039806,0.0001736846,0.00009896321,0.00007221792,0.0001638839,0.0002974024,0.0001391651,0.00006255308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003758643,"about_ca_system_score_gemma":0.000007201794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003163395,"about_ca_topic_score_gemma":0.000002104854,"domain_scores_codex":[0.9982495,0.000161288,0.0006220886,0.0003791884,0.0004492812,0.0001386944],"domain_scores_gemma":[0.9989712,0.0004136132,0.000396552,0.0001518162,0.000001661325,0.00006515792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007717172,0.0003131591,0.1188605,0.08003315,0.001055208,0.00009460714,0.000150597,0.000334838,0.0002420347,0.0000917005,0.0003155658,0.7984315],"study_design_scores_gemma":[0.001890866,0.0004375961,0.07433221,0.1130323,0.001775312,0.0001704358,0.00002177703,0.003515662,0.0002242736,0.0001088867,0.8023404,0.002150248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02813023,0.9680152,0.00006676333,0.0000583315,0.000572803,0.00251736,0.0002241267,0.00004000488,0.0003752001],"genre_scores_gemma":[0.01081242,0.9874402,0.001064836,0.000009066153,0.00008040135,0.0001598643,0.0003497103,0.00003589298,0.00004761871],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8020248,"threshold_uncertainty_score":0.8318086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030604122069063,"score_gpt":0.3746318366286002,"score_spread":0.3440277145595372,"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."}}