{"id":"W2197289392","doi":"10.1016/j.jtcvs.2015.08.007","title":"The clinical application potential of extracellular matrix in cardiac tissue engineering","year":2015,"lang":"en","type":"letter","venue":"Journal of Thoracic and Cardiovascular Surgery","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Decellularization; Extracellular matrix; Tissue engineering; Fibronectin; Regeneration (biology); Elastin; Scaffold; Chemistry; Laminin; Glycosaminoglycan; Basement membrane; Extracellular; Cell biology; Anatomy; Pathology; Medicine; Biomedical engineering; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007414752,0.000261875,0.002036644,0.0003333016,0.00003168466,0.00001729033,0.0001194604,0.000534121,0.00000220679],"category_scores_gemma":[0.000498782,0.0001688178,0.001473871,0.0002308725,0.0001207865,0.00004786647,0.00003513192,0.001787463,0.000001821706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005572901,"about_ca_system_score_gemma":0.0002538116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001402625,"about_ca_topic_score_gemma":1.285072e-7,"domain_scores_codex":[0.9969177,0.0003763381,0.00125091,0.0002230394,0.0009705878,0.0002614085],"domain_scores_gemma":[0.998132,0.000421485,0.0004248894,0.0005044903,0.0003732477,0.0001438858],"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":[0.0003268808,0.0001000502,0.003303342,0.003034524,0.009985566,0.007626984,0.0001552451,0.006681795,0.002336373,0.0000143391,0.499783,0.4666519],"study_design_scores_gemma":[0.00028565,0.0001050661,0.001514092,0.0007510712,0.001721576,0.00119822,0.00004636425,0.0002785593,0.0003462256,0.0000061058,0.993567,0.0001800391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03336029,0.9140897,0.02640964,0.02222712,0.003512964,0.0003654632,0.000008036306,0.00001631918,0.00001049813],"genre_scores_gemma":[0.6819949,0.1793127,0.007293866,0.002659229,0.1140799,0.00010343,0.0003027975,0.0006977537,0.01355536],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7347769,"threshold_uncertainty_score":0.7765737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155202503536219,"score_gpt":0.3118734425696657,"score_spread":0.2903214175343035,"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."}}