{"id":"W4396722783","doi":"10.1016/j.cca.2024.118590","title":"4. The evolution of human biomonitoring and its impact on clinical laboratory medicine","year":2024,"lang":"en","type":"article","venue":"Clinica Chimica Acta","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Biomonitoring; Medical laboratory; Medicine; Environmental health; Environmental chemistry; Computational biology; Physiology; Medical physics; Biology; Pathology; 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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01312048,0.0002160466,0.0006442809,0.0001728491,0.000225967,0.00004086969,0.0003897612,0.0005900408,0.0000998748],"category_scores_gemma":[0.03867751,0.0001182749,0.000280378,0.0005235416,0.001395174,0.00007689663,0.0002304027,0.00328758,0.00004800682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001903902,"about_ca_system_score_gemma":0.000927881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002501641,"about_ca_topic_score_gemma":0.00001809226,"domain_scores_codex":[0.9960565,0.0004156207,0.001578585,0.0006315164,0.0009310524,0.0003867219],"domain_scores_gemma":[0.9535263,0.04424649,0.000235432,0.000976427,0.0005583949,0.0004569315],"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":[0.006025886,0.00266978,0.2470856,0.003632168,0.003495349,0.0002425143,0.001325168,9.38342e-7,0.4674252,0.1851776,0.06377899,0.01914084],"study_design_scores_gemma":[0.006186736,0.02781373,0.8721847,0.01126266,0.0008828621,0.00004211349,0.0008632337,0.001866197,0.006080703,0.04502814,0.02710257,0.0006863476],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718537,0.002581679,0.000001637103,0.01958621,0.001355478,0.0004054228,0.00002611146,0.0001056146,0.004084105],"genre_scores_gemma":[0.9900012,0.00652508,0.00003252592,0.0002137659,0.002161719,0.00001188686,0.000006642165,0.00004613671,0.001001017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6250991,"threshold_uncertainty_score":0.9990119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3264847768040905,"score_gpt":0.6186387170829545,"score_spread":0.292153940278864,"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."}}