{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001200908,0.0001165337,0.0003808481,0.0002430336,0.0000445612,0.0000226459,0.00003627502,0.00004365551,0.0002256749],"category_scores_gemma":[0.000127258,0.0001139758,0.001313523,0.0005568148,0.000005720706,0.00009997769,0.00002316004,0.0001011324,0.00009347662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000632027,"about_ca_system_score_gemma":0.0000215018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002134531,"about_ca_topic_score_gemma":0.000001149991,"domain_scores_codex":[0.9990677,0.00001539243,0.0001715681,0.0002111581,0.0002764741,0.0002576575],"domain_scores_gemma":[0.9991292,0.0000208713,0.00001734378,0.0004231338,0.0000593931,0.0003500241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007678948,0.0002342949,0.07083985,0.002111999,0.03633503,0.0002899271,0.0001690759,0.3001042,0.01589336,0.0000336679,0.000189242,0.5737225],"study_design_scores_gemma":[0.001100929,0.0000253269,0.8630827,0.00005762104,0.009360529,0.00005044834,0.00003089068,0.1238353,0.0007987009,0.00001944653,0.001366729,0.0002713375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8096638,0.008252471,0.1811699,0.0000354289,0.0001238587,0.0003558556,0.000002284369,0.000227362,0.0001690161],"genre_scores_gemma":[0.9985422,0.00003955765,0.0009583462,0.00003950894,0.0002397642,0.00009044971,0.00002970895,0.0000210971,0.00003939884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7922428,"threshold_uncertainty_score":0.4647797,"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."}}