{"id":"W2034487438","doi":"10.1080/10739680490266171","title":"Flow Visualization Tools for Image Analysis of Capillary Networks","year":2004,"lang":"en","type":"article","venue":"Microcirculation","topic":"Blood properties and coagulation","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Visualization; Capillary action; Flow (mathematics); Computer science; Flow visualization; Artificial intelligence; Mechanics; Materials science; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001605125,0.00205119,0.0009346165,0.00365823,0.0005620179,0.00159697,0.002170963,0.001170228,0.04013957],"category_scores_gemma":[0.004414891,0.0008484736,0.001019086,0.001812776,0.0005041619,0.002088801,0.001665305,0.002108223,0.007144216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007271394,"about_ca_system_score_gemma":0.0008048498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009768142,"about_ca_topic_score_gemma":0.00100497,"domain_scores_codex":[0.9991754,0.0001519923,0.00009134525,0.000124324,0.000379384,0.00007756607],"domain_scores_gemma":[0.9981123,0.000963235,0.0001822339,0.0001480287,0.0005206633,0.00007342805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005011677,0.0002170209,0.000945929,0.003169189,0.0002231004,0.0006149143,0.0004889877,0.01120379,0.1693725,0.02550061,0.110284,0.6774788],"study_design_scores_gemma":[0.0004663981,0.0002958067,0.004292991,0.00104007,0.000180122,0.002644666,0.000191922,0.4119892,0.249312,0.03882642,0.2904689,0.0002915047],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001571125,0.0006277853,0.969447,0.000140479,0.00008400287,0.0002371896,0.001394262,0.02481609,0.001682156],"genre_scores_gemma":[0.01579484,0.0008304786,0.9752735,0.0001556847,0.00006740308,0.00124892,0.001864886,0.002604002,0.002160421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04013957,"threshold_uncertainty_score":0.1342803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248313665283527,"score_gpt":0.2802298817352144,"score_spread":0.2577467450823792,"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."}}