{"id":"W6962731793","doi":"10.17632/25w8vxsm62","title":"Geometrically controlled cardiac microtissues promote vascularization and reduce inflammation in vitro and in vivo Dataset #3","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"In vivo; Inflammation; In vitro; Angiogenesis; Endothelium","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":[0.002487803,0.003787226,0.002589298,0.00377768,0.001165788,0.002981522,0.0030753,0.003469111,0.07010108],"category_scores_gemma":[0.01146838,0.0007914252,0.003244015,0.002874564,0.0008458469,0.001031932,0.002295935,0.001722532,0.06214792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526653,"about_ca_system_score_gemma":0.00286251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01667648,"about_ca_topic_score_gemma":0.04532662,"domain_scores_codex":[0.9980204,0.0003417204,0.0002374657,0.0005461119,0.0005512845,0.0003029399],"domain_scores_gemma":[0.9951118,0.002205546,0.0004562799,0.0009592866,0.00098703,0.0002801614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006498611,0.0001522752,0.003625403,0.004912295,0.0003567064,0.00009724832,0.0000626723,0.001407876,0.001420324,0.0005121619,0.9745325,0.01227073],"study_design_scores_gemma":[0.001545329,0.000210434,0.01640046,0.001612972,0.0006422997,0.0004372128,0.0002052757,0.002248563,0.004059033,0.003291805,0.9692137,0.0001328861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005998188,0.0003764057,0.0002224333,0.0001096179,0.00004981243,0.00004566518,0.9972549,0.0005946322,0.0007467241],"genre_scores_gemma":[0.001551253,0.0001706212,0.0007613533,0.0001010263,0.00001644045,0.0001965549,0.9956248,0.0001483208,0.001429656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07010108,"threshold_uncertainty_score":0.2345115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013839732719546,"score_gpt":0.2965887298161854,"score_spread":0.2764503324889899,"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."}}