{"id":"W2315853796","doi":"10.1007/978-1-4939-1047-2","title":"Cardiac Tissue Engineering","year":2014,"lang":"en","type":"book","venue":"Methods in molecular biology","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Tissue engineering; Medicine; Cardiology; Computer science; Internal medicine; Biomedical engineering; Engineering","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":[0.0002314118,0.0009560402,0.0005784411,0.001003273,0.0004344739,0.0009110082,0.0006535075,0.0006627593,0.02921683],"category_scores_gemma":[0.0002456487,0.0003514966,0.0004062527,0.0004824575,0.0005146801,0.001155597,0.001040336,0.001884389,0.02017277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003422877,"about_ca_system_score_gemma":0.0002890895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002942544,"about_ca_topic_score_gemma":0.001181958,"domain_scores_codex":[0.9998404,0.00001058739,0.000005076605,0.00002540191,0.0001077231,0.00001073728],"domain_scores_gemma":[0.9999392,0.00002078465,0.00000391127,0.000008634613,0.00001681312,0.00001065937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000252652,0.00005859029,0.000046133,0.0004745236,0.00001094093,0.0001946386,0.00009907097,0.0008384063,0.03902652,0.03327641,0.2151072,0.7108423],"study_design_scores_gemma":[0.000005378839,0.00003047855,0.0001244734,0.0001457794,0.000006946902,0.0009544702,0.00001655367,0.0007773836,0.00897568,0.01291552,0.9760359,0.00001141175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002936504,0.1017453,0.1647003,0.002899031,0.008458917,0.0001466024,0.0004619528,0.00142361,0.7172278],"genre_scores_gemma":[0.007983263,0.0406475,0.02314381,0.001503606,0.001139271,0.0001142482,0.0003859877,0.0003462753,0.924736],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02921683,"threshold_uncertainty_score":0.09773999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460199763538112,"score_gpt":0.3739817570080772,"score_spread":0.3593797593726961,"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."}}