{"id":"W2736565862","doi":"10.1289/ehp1011","title":"The Saliva Exposome for Monitoring of Individuals’ Health Trajectories","year":2017,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute of Environmental Health Sciences; National Cancer Institute","keywords":"Exposome; Saliva; Metabolome; Physiology; Biomarker; Biology; Metabolomics; Medicine; Bioinformatics; Computational biology; Genetics; Biochemistry","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","sts"],"consensus_categories":[],"category_scores_codex":[0.00200849,0.0003487772,0.0004735006,0.00004558445,0.00448687,0.00009430153,0.0008268721,0.00009066269,0.0001993196],"category_scores_gemma":[0.000207808,0.000299194,0.0001654648,0.00005962329,0.001644537,0.0005404279,0.0004467436,0.0003505079,0.00008713869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900112,"about_ca_system_score_gemma":0.0000875669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001111799,"about_ca_topic_score_gemma":0.0001191529,"domain_scores_codex":[0.996313,0.0003102067,0.0007066917,0.00089379,0.0007030847,0.001073175],"domain_scores_gemma":[0.9969883,0.0004155209,0.001031198,0.001151652,0.00000406767,0.0004092576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001120622,0.0007582898,0.8411821,0.0001338167,0.00009295055,0.000002220908,0.04247701,0.00008086246,0.002275954,0.0008451387,0.0009402001,0.1110995],"study_design_scores_gemma":[0.0008539116,0.0007643544,0.952696,0.0000749363,0.000009033591,0.000005420502,0.03027803,0.00003069964,0.00180631,0.0007987772,0.01239357,0.000288955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808005,0.003985703,0.000754681,0.01003467,0.000499585,0.002564168,0.0002425751,0.00005681438,0.001061315],"genre_scores_gemma":[0.9910927,0.004368767,0.003301215,0.0002381753,0.0002465263,0.0002452439,0.00001081419,0.00006439447,0.0004321368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.111514,"threshold_uncertainty_score":0.999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03191909296662054,"score_gpt":0.33421551692785,"score_spread":0.3022964239612295,"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."}}