{"id":"W4402697766","doi":"10.1007/s40572-024-00458-3","title":"Correction: Tear Fluid as a Matrix for Biomonitoring Environmental and Chemical Exposures","year":2024,"lang":"en","type":"erratum","venue":"Current Environmental Health Reports","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Biomonitoring; Environmental health; Environmental chemistry; Environmental science; Medicine; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003081526,0.0006182636,0.0008770617,0.0001609799,0.0002145072,0.00005635051,0.00007279613,0.0004769366,0.0002161335],"category_scores_gemma":[0.00002207519,0.0006012145,0.0003748422,0.00004620392,0.0001630611,0.0000881845,0.0002006268,0.001203479,0.0001648424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191782,"about_ca_system_score_gemma":0.0003303476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003910817,"about_ca_topic_score_gemma":0.000001636843,"domain_scores_codex":[0.9963847,0.00004144455,0.0009832251,0.001194736,0.0007152984,0.0006805487],"domain_scores_gemma":[0.998325,0.00004094226,0.0004185642,0.0005975818,0.000003825784,0.0006140772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002654639,0.0010675,0.01684932,0.005069206,0.0003915879,0.001193129,0.000644243,4.914342e-7,0.007458587,0.000005513612,0.8315968,0.1354582],"study_design_scores_gemma":[0.0005133318,0.0007589663,0.003142035,0.001559764,0.0003529474,0.001806655,0.0003099373,0.00007952556,0.002385244,0.00004141437,0.9885468,0.0005033255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4030361,0.4140831,0.00004723802,0.001198046,0.1746719,0.004960204,0.000489151,0.0003347878,0.001179443],"genre_scores_gemma":[0.6300119,0.08561713,0.0004289507,0.0005850766,0.01582434,0.0009508416,0.0113223,0.0006843118,0.2545752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.328466,"threshold_uncertainty_score":0.9996439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015142926141232,"score_gpt":0.3248684576705312,"score_spread":0.3097255315292992,"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."}}