{"id":"W4376507275","doi":"10.1016/j.envres.2023.116107","title":"Do blood metals influence lipid profiles? Findings of a cross-sectional population-based survey","year":2023,"lang":"en","type":"article","venue":"Environmental Research","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Dyslipidemia; Interquartile range; Cadmium; Blood lipids; Internal medicine; Chemistry; Population; Cholesterol; Lipid profile; Mercury (programming language); Selenium; Endocrinology; Medicine; Obesity; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00219328,0.0002706894,0.0003978524,0.0005980178,0.0004263985,0.0007592823,0.0004260846,0.0008157623,0.0007725779],"category_scores_gemma":[0.004661575,0.000494965,0.0005262466,0.00120137,0.0004755265,0.0003877915,0.000440245,0.000644915,0.0002798746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00039598,"about_ca_system_score_gemma":0.0006281817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04454603,"about_ca_topic_score_gemma":0.04202212,"domain_scores_codex":[0.9985809,0.0006566553,0.0001106117,0.0002545781,0.0002519493,0.0001452131],"domain_scores_gemma":[0.9975166,0.0005743369,0.0007022469,0.0003583606,0.0004607699,0.0003875552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006475437,0.00003817623,0.9989387,0.000006038595,0.00009706525,0.0000267659,0.0001128131,0.00001273246,0.0001478192,0.000005793419,0.0000513736,0.0004980729],"study_design_scores_gemma":[0.000003511226,0.00006360698,0.9996093,0.000001860439,0.00003663687,0.00003989042,0.000120404,0.00002785193,0.00001768788,0.00000622637,0.00007144722,0.000001687665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988519,0.0002158822,0.0001057761,0.00009990603,0.000006291546,0.000008806076,0.0003900366,0.000003689963,0.0003177249],"genre_scores_gemma":[0.9993537,0.0001185013,0.00006239485,0.00009478813,0.000006106941,0.000007810271,0.0002077212,0.000001343494,0.0001476777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04454603,"threshold_uncertainty_score":0.08857352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07978771034463397,"score_gpt":0.3781860684483767,"score_spread":0.2983983581037427,"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."}}