{"id":"W4234860742","doi":"10.1016/b978-0-12-801238-3.99954-9","title":"Hemodynamic Imaging","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hemodynamics; Blood flow; Speckle pattern; Medicine; Modality (human–computer interaction); Biomedical engineering; Cardiology; Computer science; Computer vision; Artificial intelligence","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":[0.0002825209,0.001060612,0.0005141743,0.001262149,0.0003703636,0.001396638,0.0005516181,0.001056447,0.1283137],"category_scores_gemma":[0.0007036022,0.0003383844,0.0003320511,0.0006667681,0.0004822978,0.001295737,0.001210497,0.00175686,0.1018655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002745172,"about_ca_system_score_gemma":0.0004752211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000635613,"about_ca_topic_score_gemma":0.001619283,"domain_scores_codex":[0.999876,0.00001484268,0.000006095932,0.00003039421,0.00006257093,0.00001004698],"domain_scores_gemma":[0.9998199,0.00005680157,0.000007706753,0.00002670796,0.00005213961,0.00003670667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002380404,0.0000291508,0.0001180495,0.0001926413,0.00000699349,0.0002554978,0.0000634801,0.000257444,0.003616772,0.009457921,0.1786116,0.8073666],"study_design_scores_gemma":[0.000005449193,0.00002543816,0.0005278498,0.0002534214,0.000008222207,0.00187369,0.00002987858,0.000570053,0.001451691,0.009281142,0.9859611,0.00001219134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001898887,0.04500427,0.06917311,0.003315293,0.006411438,0.00008084036,0.0004970439,0.002350854,0.8712682],"genre_scores_gemma":[0.005400838,0.02072993,0.01335058,0.001090494,0.001869825,0.00006123655,0.0003949269,0.0003429499,0.9567593],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1283137,"threshold_uncertainty_score":0.429252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009659288301034236,"score_gpt":0.2153850179771295,"score_spread":0.2057257296760953,"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."}}