{"id":"W581148780","doi":"10.1016/j.mvr.2015.06.001","title":"Effect of microvascular distribution and its density on interstitial fluid pressure in solid tumors: A computational model","year":2015,"lang":"en","type":"article","venue":"Microvascular Research","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Interstitial fluid; Distribution (mathematics); Pathology; Solid tumor; Chemistry; Tumor microenvironment; Angiogenesis; Medicine; Cancer research; Tumor cells; Internal medicine; Cancer","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":[0.000395345,0.0006474698,0.0008689141,0.0006208165,0.0006780434,0.001410962,0.001207989,0.002692048,0.00181387],"category_scores_gemma":[0.003626097,0.0006328546,0.0008428057,0.0005375406,0.001622867,0.001231605,0.0009790041,0.0008535209,0.0001293056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016491,"about_ca_system_score_gemma":0.001006226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01728165,"about_ca_topic_score_gemma":0.005510385,"domain_scores_codex":[0.9998139,0.00006676354,0.000006770922,0.00003488207,0.00002357128,0.00005414328],"domain_scores_gemma":[0.9980427,0.001407001,0.0001960478,0.0000640016,0.0001167457,0.0001734292],"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":[0.00006107384,0.000100894,0.000963775,0.00002363087,0.00001127074,0.0001148427,0.00002198218,0.9934644,0.001034322,0.003324547,0.0001998322,0.0006795042],"study_design_scores_gemma":[0.00001122306,0.00001274851,0.0002404471,0.000001934837,0.000005786025,0.00001064415,0.000007977279,0.9990863,0.0001604795,0.0004230314,0.0000337525,0.000005820555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368924,0.0007429533,0.04661835,0.001717633,0.00009829771,0.00005678519,0.000327991,0.000171215,0.01337434],"genre_scores_gemma":[0.9969998,0.0001639441,0.001122765,0.00005697215,0.00002570192,0.00001974994,0.00003900451,0.00002248959,0.001549623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01728165,"threshold_uncertainty_score":0.03436214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07613018209021236,"score_gpt":0.3918650720752198,"score_spread":0.3157348899850074,"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."}}