{"id":"W4283382810","doi":"10.1097/cd9.0000000000000053","title":"Rationale, Criteria, and Impact of Identifying Extreme Risk in Patients with Atherosclerotic Cardiovascular Disease","year":2022,"lang":"en","type":"article","venue":"Cardiology Discovery","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Medicine; Dyslipidemia; Atherosclerotic cardiovascular disease; Risk stratification; Intensive care medicine; Disease; Risk assessment; Clinical Practice; Terminology; Internal medicine; Physical therapy; Computer science","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":[0.02272646,0.000916915,0.001671271,0.003364814,0.001000372,0.003159765,0.002646976,0.002489559,0.002260432],"category_scores_gemma":[0.0387772,0.000525777,0.001593185,0.002267546,0.002375907,0.002541445,0.003032319,0.005308321,0.001305611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858601,"about_ca_system_score_gemma":0.005692097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956421,"about_ca_topic_score_gemma":0.003062134,"domain_scores_codex":[0.9830173,0.009654664,0.003502989,0.001045864,0.002450421,0.000328624],"domain_scores_gemma":[0.9786808,0.01070013,0.002062543,0.0007088782,0.007009099,0.0008385581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001589003,0.0004787334,0.1008154,0.0190781,0.0008228419,0.002436789,0.003453155,0.001328326,0.002444418,0.09510428,0.07970595,0.6927429],"study_design_scores_gemma":[0.00146704,0.001808259,0.1095132,0.08709157,0.004519634,0.02039165,0.005685938,0.00793671,0.005557487,0.1292928,0.6257635,0.0009722086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0376519,0.583871,0.1346388,0.1653277,0.01165535,0.005499675,0.002727,0.0004686913,0.05815998],"genre_scores_gemma":[0.4065415,0.2244187,0.2802501,0.05533211,0.01254804,0.009019525,0.004514151,0.0002214062,0.007154506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02272646,"threshold_uncertainty_score":0.1201904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280537501822065,"score_gpt":0.2545690219809509,"score_spread":0.2317636469627302,"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."}}