{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005386082,0.0005813207,0.0003055708,0.001520819,0.0002713812,0.000915134,0.0003856669,0.0006775348,0.005370146],"category_scores_gemma":[0.0004603643,0.0003266055,0.0002378157,0.0005850889,0.0003083104,0.0007023203,0.0005986252,0.000692353,0.0007508469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003993163,"about_ca_system_score_gemma":0.0002904393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005639868,"about_ca_topic_score_gemma":0.0008962862,"domain_scores_codex":[0.9995306,0.00006245209,0.00002598316,0.0001240808,0.0001976186,0.00005931358],"domain_scores_gemma":[0.9996935,0.00009709933,0.00006682448,0.00003741357,0.00006235223,0.00004283829],"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":[0.0001588435,0.00007152245,0.002581921,0.0001292039,0.00002473913,0.0001240862,0.0000596373,0.00110424,0.9710419,0.001303432,0.0007656573,0.02263485],"study_design_scores_gemma":[0.00002264567,0.000383055,0.02305843,0.00004214234,0.00006417763,0.0009077254,0.000166097,0.06013146,0.9028507,0.001229174,0.01106629,0.00007821094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5860312,0.004632259,0.3826844,0.0002965037,0.0002768715,0.0003050185,0.003945412,0.008197251,0.01363123],"genre_scores_gemma":[0.8193217,0.001712215,0.1691957,0.0001679036,0.00007198809,0.0006019378,0.0008841132,0.0004046434,0.007639769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005370146,"threshold_uncertainty_score":0.0179649,"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."}}