{"id":"W2142432909","doi":"10.1152/ajpheart.00936.2006","title":"Wave intensity analysis of left ventricular filling: application of windkessel theory","year":2007,"lang":"en","type":"article","venue":"American Journal of Physiology-Heart and Circulatory Physiology","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta","funders":"Bristol-Myers Squibb Canada; Bristol-Myers Squibb","keywords":"Compliance (psychology); Cardiology; Ventricular filling; Intensity (physics); Internal medicine; Suction; Mechanics; Blood pressure; Volume (thermodynamics); Pressure gradient; Medicine; Physics; Diastole; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008380977,0.0001653232,0.001473947,0.0005335746,0.00004783147,0.00000130655,0.00007465482,0.0001124839,0.00004911273],"category_scores_gemma":[0.00007714878,0.0001267602,0.0009050975,0.0006217138,0.0008729002,0.00004467486,0.00003274723,0.0002944859,0.000001524157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003564163,"about_ca_system_score_gemma":0.00007170355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003650993,"about_ca_topic_score_gemma":0.000001700766,"domain_scores_codex":[0.9984728,0.0001759023,0.0006618702,0.0002622318,0.0002093806,0.0002178438],"domain_scores_gemma":[0.9979836,0.0002040279,0.0007737454,0.0003711382,0.0005158167,0.000151722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000701527,0.0001683616,0.05215053,0.00003812948,0.003464299,0.000001465386,0.0002334971,0.0002936572,0.9414356,0.0001362231,0.00002463478,0.001352119],"study_design_scores_gemma":[0.0005498092,0.0006017362,0.980468,0.00002003185,0.002203472,0.0001897128,0.0008954468,0.0002169468,0.01393622,0.0002984731,0.0005151931,0.0001049829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983391,0.0005136795,0.0008202047,0.00003356542,0.0001539215,0.0001049308,0.00000502632,0.000008524198,0.0000210844],"genre_scores_gemma":[0.9992542,0.0001124885,0.0001790179,0.0002595549,0.0001566767,6.361083e-7,0.00002038223,0.0000124738,0.000004630146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9283174,"threshold_uncertainty_score":0.5169133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009956624419518074,"score_gpt":0.2457781098842028,"score_spread":0.2358214854646848,"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."}}