{"id":"W2027603511","doi":"10.1152/ajpheart.00146.2006","title":"Comparing microsphere deposition and flow modeling in 3D vascular trees","year":2006,"lang":"en","type":"article","venue":"American Journal of Physiology-Heart and Circulatory Physiology","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Perfusion; Arterial tree; Blood flow; Perfusion scanning; Biomedical engineering; Microsphere; Tree (set theory); Flow (mathematics); Deposition (geology); Arterial perfusion; Materials science; Mathematics; Medicine; Radiology; Geology; Cardiology; Geometry","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":[0.0009134955,0.0004749974,0.0003876252,0.0006384933,0.0002247794,0.0007126919,0.0003576574,0.0008879348,0.0004510979],"category_scores_gemma":[0.002102506,0.0003125434,0.0007228836,0.0004066698,0.0003744126,0.0005407195,0.0003064738,0.0003701289,0.0001620058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008225066,"about_ca_system_score_gemma":0.0006050668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004748322,"about_ca_topic_score_gemma":0.002102193,"domain_scores_codex":[0.999634,0.0001450049,0.00002056373,0.00005623042,0.000112561,0.00003154632],"domain_scores_gemma":[0.9985869,0.001063911,0.000101285,0.00009591059,0.0001111855,0.00004083367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000128711,0.0000512263,0.002833097,0.00006721304,0.00003305174,0.00008455775,0.0001185158,0.925989,0.0565564,0.002319194,0.0001352551,0.01168379],"study_design_scores_gemma":[0.000006426029,0.00004575756,0.0009493701,0.000002923906,0.000008517985,0.00004106194,0.00000884186,0.9850522,0.01291116,0.0005960346,0.0003654702,0.00001218264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.514519,0.0007280411,0.4812219,0.0001551222,0.00003359418,0.00006969399,0.0002304894,0.0009188401,0.002123279],"genre_scores_gemma":[0.9189171,0.0007157833,0.07909402,0.00004423086,0.00001807008,0.0001143744,0.0002083594,0.0001136407,0.0007743313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004748322,"threshold_uncertainty_score":0.009441376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118799862403272,"score_gpt":0.2446236938175054,"score_spread":0.2327437075771782,"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."}}