{"id":"W2010835348","doi":"10.4236/eng.2013.510b038","title":"Cardiovascular Diseases Detecting via Pulse Analysis","year":2013,"lang":"en","type":"article","venue":"Engineering","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Medicine; Pulse Wave Analysis; Pulse (music); Pulse wave velocity; Cardiology; Internal medicine; Pulse wave; Blood pressure; Computer science; 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":[0.0008717364,0.0003895274,0.0003434182,0.002134631,0.0002680025,0.0005540103,0.0002401677,0.0002720768,0.0009086117],"category_scores_gemma":[0.001883688,0.0001452858,0.0002446215,0.001297013,0.0001528792,0.0004054837,0.0002500732,0.0003332318,0.0002510044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110612,"about_ca_system_score_gemma":0.0002888567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001550905,"about_ca_topic_score_gemma":0.001784346,"domain_scores_codex":[0.9994241,0.0002198453,0.00005899723,0.0001228358,0.0001276274,0.00004666308],"domain_scores_gemma":[0.9991943,0.0003093053,0.0001290317,0.00007889064,0.0002247087,0.00006367602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005209707,0.0001940832,0.8349134,0.0001713825,0.0001871326,0.0003221523,0.0003581401,0.0007707144,0.01918476,0.0002152622,0.0007495954,0.1424125],"study_design_scores_gemma":[0.00003097944,0.0005818409,0.9761386,0.00003308126,0.0002382344,0.001358804,0.0003220942,0.01088353,0.008596095,0.0004161207,0.001357463,0.0000430758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767212,0.000999702,0.01863035,0.00008357142,0.0000436114,0.00009543655,0.001021548,0.0001818941,0.002222577],"genre_scores_gemma":[0.9872544,0.0005475368,0.01073056,0.00004789084,0.00006882109,0.00005483841,0.0007228723,0.000009221966,0.000563774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002134631,"threshold_uncertainty_score":0.00461024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005021345083273245,"score_gpt":0.2147309331129072,"score_spread":0.2097095880296339,"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."}}