{"id":"W4375945623","doi":"10.32920/22782692","title":"Complex contaminant mixtures and their associations with intima-media thickness","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research; Institute of Indigenous Peoples' Health; Niskamoon Corporation; Cree Board of Health and Social Services of James Bay","keywords":"Indigenous; Effect modification; Intima-media thickness; Principal component analysis; Chemistry; Medicine; Internal medicine; Environmental chemistry; Biology; Mathematics; Carotid arteries","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008130352,0.0003757735,0.0004287741,0.00006412622,0.0002804892,0.00009155989,0.0003103285,0.0002647786,0.001084337],"category_scores_gemma":[0.0001708626,0.000271869,0.00005627397,0.0001438279,0.0004678355,0.0001079642,0.001523137,0.0007768782,0.0005252424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003818512,"about_ca_system_score_gemma":0.00004318322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002976369,"about_ca_topic_score_gemma":0.004701084,"domain_scores_codex":[0.99759,0.0002158369,0.0003248802,0.0009749735,0.0004085051,0.0004857754],"domain_scores_gemma":[0.9984257,0.0006190455,0.0002428627,0.0004958967,0.00001210008,0.0002044197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005654265,0.0004625359,0.8843452,0.0002998839,0.0004479713,0.0001272157,0.02467647,0.003144548,0.006910805,0.0006048083,0.01579214,0.06313183],"study_design_scores_gemma":[0.0003202196,0.0000336906,0.9909527,0.00008498225,0.00003732003,0.000007329787,0.0009902072,0.002036687,0.0003190327,0.002324751,0.002448914,0.0004441314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370453,0.00008346354,0.03122903,0.005806879,0.0004388344,0.002048927,0.0006318306,0.000450993,0.02226472],"genre_scores_gemma":[0.993576,0.0002365762,0.003317492,0.001255441,0.00007484193,0.0001361468,0.000287294,0.00006613564,0.001050022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1066075,"threshold_uncertainty_score":0.9999734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04339046899029693,"score_gpt":0.2708715429759462,"score_spread":0.2274810739856493,"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."}}