{"id":"W2520154016","doi":"10.1371/journal.pone.0162386","title":"A Global View of the Relationships between the Main Behavioural and Clinical Cardiovascular Risk Factors in the GAZEL Prospective Cohort","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Health, British Columbia; Agence Française de Sécurité Sanitaire de l'Environnement et du Travail; Institut National de la Santé et de la Recherche Médicale","keywords":"Prospective cohort study; Dyslipidemia; Risk factor; Medicine; Proportional hazards model; Cohort; Internal medicine; Diabetes mellitus; Obesity; Cohort study; Demography; Endocrinology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004463993,0.0002894298,0.0005928543,0.003413108,0.0006463838,0.001456647,0.0004277976,0.0004159812,0.002015677],"category_scores_gemma":[0.003670566,0.0002786397,0.0009338644,0.002348044,0.0005798878,0.001292362,0.001719542,0.0008056145,0.0004265655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000724582,"about_ca_system_score_gemma":0.0007933223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02510804,"about_ca_topic_score_gemma":0.02899702,"domain_scores_codex":[0.9986739,0.000457956,0.00008238308,0.0004340776,0.0002138818,0.0001377297],"domain_scores_gemma":[0.9975209,0.0005939216,0.0005264177,0.0007810914,0.0003604172,0.0002171873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001786244,0.000006633127,0.9893805,0.00004068564,0.0004775162,0.0001186781,0.0004173009,0.0002491123,0.0008609212,0.0005572596,0.0006920696,0.007020616],"study_design_scores_gemma":[0.000007504847,0.00005308612,0.9966711,0.0000246317,0.0001731703,0.0001521597,0.0003842851,0.0002399528,0.00006669428,0.0005010967,0.001712148,0.00001416046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671745,0.006739732,0.004049844,0.003490095,0.00004882692,0.00003982463,0.01207286,0.0001078891,0.006276501],"genre_scores_gemma":[0.9907538,0.002648291,0.001238725,0.0003944211,0.00007019875,0.00004586337,0.003683108,0.00002635385,0.00113921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02510804,"threshold_uncertainty_score":0.04992378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058840010348162,"score_gpt":0.2985101059876305,"score_spread":0.1926261049528143,"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."}}