{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011265,0.0000763058,0.0002256024,0.0001551585,0.00005567852,0.00002137344,0.00002438012,0.00008834206,0.00003239566],"category_scores_gemma":[0.00003842321,0.00007115729,0.0001664681,0.0005072789,0.00001897469,0.0001662804,0.000007249903,0.0000306797,0.000001765313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006756276,"about_ca_system_score_gemma":0.00003468423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000501532,"about_ca_topic_score_gemma":0.00001624755,"domain_scores_codex":[0.9993671,0.00001212478,0.0002613524,0.0001461573,0.0001081947,0.0001050976],"domain_scores_gemma":[0.9994702,0.00002213207,0.0001093587,0.0001395147,0.0002290499,0.00002970353],"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":[0.0002566584,0.0001947695,0.01458594,0.0001801076,0.001227266,0.000001489338,0.000845812,0.5865586,0.3665381,0.001242262,0.0001459428,0.02822297],"study_design_scores_gemma":[0.001990306,0.0001503826,0.2243751,0.00006442475,0.003266842,0.000005957174,0.0001110147,0.7362174,0.03294702,0.0002494903,0.0004680401,0.0001539773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5412354,0.0003353492,0.4578848,0.0001099414,0.00003508672,0.0003012748,0.000005635553,0.00002462977,0.00006786393],"genre_scores_gemma":[0.9935769,0.00002443153,0.004729838,0.0002067665,0.00008850297,0.00001533522,0.001320999,0.00001414467,0.00002305499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.453155,"threshold_uncertainty_score":0.290171,"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."}}