{"id":"W1746650768","doi":"","title":"Analysis of seismocardiogram capability for trending stroke volume changes: A lower body negative pressure study","year":2012,"lang":"en","type":"article","venue":"Computing in Cardiology","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Stroke volume; Cardiology; Stroke (engine); Medicine; Internal medicine; Blood pressure; Volume (thermodynamics); Heart rate; 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":[0.0003219555,0.0003091841,0.0002157043,0.0009418381,0.0001052043,0.0003130361,0.000102077,0.0002380255,0.0007504555],"category_scores_gemma":[0.001912845,0.00009342765,0.0001264942,0.0002786333,0.0002277317,0.0001624167,0.0001707848,0.0001576647,0.0001821867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003890071,"about_ca_system_score_gemma":0.0000749964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006514016,"about_ca_topic_score_gemma":0.0009031675,"domain_scores_codex":[0.9998909,0.00003228024,0.000010029,0.00002371518,0.00003106919,0.00001198411],"domain_scores_gemma":[0.9994007,0.0002613162,0.0001177516,0.00004657716,0.00008734518,0.00008632174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002072342,0.0002547333,0.6558698,0.0002353022,0.000223236,0.001501012,0.0008137841,0.001570456,0.2460106,0.0001425742,0.0003756788,0.09093048],"study_design_scores_gemma":[0.00001831562,0.0005450638,0.9904441,0.000005661672,0.00005255935,0.001010859,0.0001199139,0.00255787,0.004962479,0.00006037205,0.0002109538,0.0000117777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997113,0.0001088588,0.002403242,0.00001754035,0.000004083213,0.00001166941,0.00008837468,0.00001660977,0.0002366331],"genre_scores_gemma":[0.998752,0.00006528347,0.0009305321,0.000005841815,0.00001774446,0.00000645617,0.0001199932,0.000003518356,0.00009875454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009418381,"threshold_uncertainty_score":0.002510488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949993371807698,"score_gpt":0.2734189897485323,"score_spread":0.2539190560304553,"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."}}