{"id":"W2138608061","doi":"10.1109/iembs.2009.5334444","title":"Comparative analysis of three different modalities for characterization of the seismocardiogram","year":2009,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Heart, Lung, and Blood Institute; American Heart Association","keywords":"Cardiac cycle; Usability; Modalities; Finite element method; Computer science; Homogeneous; SIGNAL (programming language); Cardiology; Medicine; Physics; Structural engineering; Engineering; Human–computer interaction; Statistical physics","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":[0.001987751,0.0008139334,0.0006440934,0.003220387,0.0002259991,0.001035065,0.0004887927,0.00110279,0.002346026],"category_scores_gemma":[0.008735089,0.0002613682,0.0005794289,0.001014765,0.000424066,0.001015844,0.0008274234,0.0004803254,0.0006051625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001449508,"about_ca_system_score_gemma":0.0001989273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002714715,"about_ca_topic_score_gemma":0.0005799328,"domain_scores_codex":[0.9989267,0.0003620093,0.00008769544,0.0001409746,0.0004002124,0.00008245817],"domain_scores_gemma":[0.99518,0.002803256,0.0003775447,0.0004086964,0.001024322,0.0002062765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003301811,0.0003001224,0.05480446,0.001359853,0.000496199,0.0005766688,0.0004026041,0.007113938,0.5503048,0.002505772,0.000810264,0.3780235],"study_design_scores_gemma":[0.0003356152,0.004462934,0.3771564,0.0004762948,0.001526082,0.007751316,0.0009396049,0.1802617,0.4131651,0.004731087,0.00873959,0.0004542838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4945867,0.0040634,0.4928112,0.0002764798,0.0001667053,0.000368663,0.0009663586,0.001227687,0.005532878],"genre_scores_gemma":[0.7811566,0.00200909,0.2145585,0.00007715316,0.0001678245,0.0003448636,0.0006126831,0.0001755423,0.0008977856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003220387,"threshold_uncertainty_score":0.01051235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383066858175049,"score_gpt":0.2410639275777227,"score_spread":0.2172332589959723,"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."}}