{"id":"W4403397030","doi":"10.1161/hyp.81.suppl_1.p446","title":"Abstract P446: Prediction of Cardiovascular Events by Algorithm- and Formula-based Pulse Wave Velocity: An Analysis of CARTaGENE","year":2024,"lang":"en","type":"article","venue":"Hypertension","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôtel-Dieu de Québec; Hôpital du Sacré-Cœur de Montréal; Université de Montréal","funders":"","keywords":"Pulse wave velocity; Algorithm; Pulse Wave Analysis; Pulse (music); Medicine; Cardiology; Internal medicine; Computer science; Mathematics; Blood pressure; Telecommunications","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":[0.006335922,0.0006130495,0.0008242799,0.0008742544,0.0003599941,0.001188903,0.0008014261,0.0004976336,0.003894149],"category_scores_gemma":[0.01917531,0.0002763597,0.001519152,0.000631328,0.0002961157,0.0006817498,0.0009476488,0.0005373813,0.0005724508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003700054,"about_ca_system_score_gemma":0.0005358888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006730818,"about_ca_topic_score_gemma":0.00426373,"domain_scores_codex":[0.9977071,0.001321874,0.0000832403,0.0003614927,0.0004364064,0.00008981054],"domain_scores_gemma":[0.9853576,0.01069306,0.0008412233,0.00146097,0.001203534,0.0004434859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01497073,0.0006149531,0.9361138,0.0002283819,0.00505212,0.0003060084,0.0002901631,0.005064793,0.001073317,0.0003391472,0.002684973,0.03326157],"study_design_scores_gemma":[0.0005571796,0.00230703,0.9512496,0.0000344209,0.0009872477,0.0002754096,0.0001245139,0.04106086,0.0003976848,0.0002815383,0.002671994,0.00005247405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929649,0.0003070752,0.002236488,0.00008972348,0.00003386954,0.0001159685,0.002986344,0.0001189734,0.001146672],"genre_scores_gemma":[0.9913119,0.0001084974,0.002625326,0.00006620844,0.00003955549,0.0001441209,0.004161485,0.0000666052,0.001476186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006730818,"threshold_uncertainty_score":0.033508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02562724290514881,"score_gpt":0.2534294398850433,"score_spread":0.2278021969798945,"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."}}