{"id":"W4382051278","doi":"10.1016/j.cjca.2023.06.419","title":"Toward a Cardio-Environmental Risk Model: Environmental Determinants of Cardiovascular Disease","year":2023,"lang":"en","type":"review","venue":"Canadian Journal of Cardiology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé","keywords":"Medicine; Dyslipidemia; Environmental health; Disease; Cardiovascular health; Population health; Stressor; Environmental epidemiology; Population; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002196295,0.001835188,0.0024727,0.003359831,0.000477336,0.002018108,0.002180155,0.002515604,0.003682333],"category_scores_gemma":[0.002422187,0.0003638035,0.001789208,0.003030391,0.001288517,0.002917225,0.001451501,0.00526099,0.001907039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002445049,"about_ca_system_score_gemma":0.005284276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007944286,"about_ca_topic_score_gemma":0.00985729,"domain_scores_codex":[0.9994505,0.0001943195,0.00006925856,0.00007890243,0.0001660262,0.00004108563],"domain_scores_gemma":[0.9986558,0.0007272129,0.0001055867,0.00003136502,0.0004043414,0.0000757451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001309912,0.0001418715,0.001812535,0.04127068,0.001128557,0.0003828859,0.0003231849,0.002626235,0.0006462645,0.05990811,0.08822907,0.8033996],"study_design_scores_gemma":[0.00003632905,0.0001642536,0.003861662,0.02839444,0.001295896,0.001185867,0.0004074184,0.001375369,0.0002756739,0.04652451,0.9164001,0.00007859642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001088752,0.991918,0.0009418255,0.005013139,0.0009520191,0.000009697595,0.0000471644,0.00001593867,0.0009933147],"genre_scores_gemma":[0.001489562,0.9953783,0.0008075903,0.001185166,0.0006276555,0.00001701703,0.00005309437,0.000002974114,0.0004387163],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007944286,"threshold_uncertainty_score":0.01774013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134602482505359,"score_gpt":0.3071252732076202,"score_spread":0.1936650249570843,"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."}}