{"id":"W2149743478","doi":"","title":"Lead as an environmental cardiovascular risk factor","year":2009,"lang":"en","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Risk factor; Factor (programming language); Environmental health; Lead (geology); Risk analysis (engineering); Medicine; Internal medicine; Computer science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004300774,0.0003218005,0.0003932086,0.0009559965,0.0003823318,0.000973574,0.0001613965,0.0003451148,0.002572952],"category_scores_gemma":[0.000669059,0.0001266504,0.0003473365,0.001191578,0.0002859274,0.000181175,0.0004106316,0.0006369693,0.000318129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002260567,"about_ca_system_score_gemma":0.0003873784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005355013,"about_ca_topic_score_gemma":0.01041336,"domain_scores_codex":[0.9994758,0.000231821,0.00003231663,0.00007080053,0.0001339925,0.00005528779],"domain_scores_gemma":[0.9996572,0.0000833766,0.0001250741,0.00002185742,0.0000637719,0.00004870034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00101509,0.0002501805,0.9249375,0.0004555637,0.0006085481,0.001762147,0.000410041,0.0001500821,0.005127442,0.002480131,0.003683022,0.05912019],"study_design_scores_gemma":[0.00002338013,0.0005195027,0.968797,0.0002094388,0.0005105934,0.003812466,0.0005024667,0.0002948768,0.002527623,0.001160635,0.02162371,0.00001820796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929494,0.05166479,0.00320993,0.002962153,0.0008165864,0.000071451,0.002098611,0.00008871975,0.04613829],"genre_scores_gemma":[0.9833375,0.01052819,0.001003264,0.0003982704,0.0001845041,0.0000193618,0.0003796311,0.000006659556,0.004142669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005355013,"threshold_uncertainty_score":0.01064765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005131847146741348,"score_gpt":0.1596123511990764,"score_spread":0.1544805040523351,"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."}}