{"id":"W4403394530","doi":"10.2196/60128","title":"The Role of Visualization in Estimating Cardiovascular Disease Risk: Scoping Review","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Javna Agencija za Raziskovalno Dejavnost RS","keywords":"CINAHL; Systematic review; MEDLINE; Medicine; Disease; Population; Framingham Risk Score; Data science; Computer science; Environmental health; Pathology; Psychological intervention; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.03584634,0.002462316,0.007702172,0.03153355,0.001526379,0.007984598,0.003521885,0.004271478,0.007102492],"category_scores_gemma":[0.2040952,0.001752696,0.009672773,0.0254087,0.002371049,0.00718875,0.004502847,0.00277676,0.0009580481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0060299,"about_ca_system_score_gemma":0.02690787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022969,"about_ca_topic_score_gemma":0.01725632,"domain_scores_codex":[0.9664361,0.01320507,0.01303025,0.001570358,0.005255323,0.0005027332],"domain_scores_gemma":[0.7939192,0.1707885,0.01637062,0.003239567,0.01500859,0.0006735311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009155906,0.00001827197,0.0004547893,0.8534033,0.002452398,0.000113943,0.0006826024,0.0002128779,0.0001280928,0.001218895,0.00399068,0.1372325],"study_design_scores_gemma":[0.0000201844,0.00002895359,0.000386868,0.9722193,0.005921377,0.000120219,0.0002488316,0.00007310913,0.00008030861,0.0006321993,0.0202501,0.00001841187],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002881133,0.996457,0.000714812,0.0008817198,0.0003590888,0.0004223406,0.0002708506,0.00002035648,0.0005857365],"genre_scores_gemma":[0.004047049,0.9918649,0.001842407,0.00067153,0.0002048329,0.001027733,0.0002103229,0.00001591319,0.0001153327],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03584634,"threshold_uncertainty_score":0.1895758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749613932657207,"score_gpt":0.352298445779885,"score_spread":0.3248023064533129,"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."}}