{"id":"W2765292151","doi":"10.1002/adfm.201703524","title":"InVADE: Integrated Vasculature for Assessing Dynamic Events","year":2017,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heart and Stroke Foundation; University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Metastasis; Crosstalk; Perfusion; Scaffold; Biomedical engineering; Cancer research; Pathology; Materials science; Biology; Cancer; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003679619,0.0001504393,0.0001980161,0.00006503946,0.0003116248,0.0002296091,0.0002822615,0.0001357716,0.0003767658],"category_scores_gemma":[0.0009607369,0.0001350465,0.00005596679,0.0000475433,0.00006858047,0.0004723002,0.0000776068,0.0001413803,0.00007195456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177855,"about_ca_system_score_gemma":0.00003680675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005425348,"about_ca_topic_score_gemma":0.000003699279,"domain_scores_codex":[0.9989612,0.00002233394,0.0002238152,0.0002164929,0.0002639247,0.0003122974],"domain_scores_gemma":[0.9992134,0.0001338088,0.0000660522,0.0003772194,0.0001255668,0.00008393086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006226002,0.00001912427,0.0002134039,0.0001971925,0.00008505752,0.00000257626,0.000008169299,0.001916693,0.9684063,0.0005951543,0.0006470091,0.02784706],"study_design_scores_gemma":[0.003727442,0.00009909874,0.3663811,0.0007520842,0.00006274954,0.00002557178,0.00005887463,0.01229319,0.5339772,0.02935581,0.05222974,0.001037124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393014,0.00009228993,0.05395472,0.0002488498,0.004853458,0.0004076262,0.0001071448,0.0003021971,0.0007322959],"genre_scores_gemma":[0.9898117,0.00003516377,0.009093698,0.00003041279,0.0002007964,0.0001310185,0.000177297,0.0000462535,0.0004736747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4344291,"threshold_uncertainty_score":0.5507037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544348525629754,"score_gpt":0.3204651188038246,"score_spread":0.295021633547527,"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."}}