{"id":"W2757976691","doi":"10.1016/j.cjca.2017.07.485","title":"ACELLULAR EXTRACELLULAR MATRIX SCAFFOLD REPROGRAMS CARDIAC FIBROBLASTS AND PROMOTES ADAPTIVE CARDIAC REMODELING AND REPAIR","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Extracellular matrix; Fibroblast; Cell biology; Scaffold; Myofibroblast; Medicine; Fibroblast growth factor; Cardiac fibrosis; In vitro; Biomedical engineering; Chemistry; Pathology; Fibrosis; Internal medicine; Biology; Biochemistry; Receptor","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002019314,0.0002943065,0.0002507317,0.0002163796,0.0001887305,0.0005546255,0.0001609301,0.0004198746,0.001259982],"category_scores_gemma":[0.0001273353,0.0001297755,0.0001954101,0.0001359925,0.0002512083,0.0002556978,0.000195167,0.0005939221,0.0003696929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762302,"about_ca_system_score_gemma":0.0002172675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006053607,"about_ca_topic_score_gemma":0.001639925,"domain_scores_codex":[0.9998068,0.00003075898,0.00001305616,0.00002971515,0.00006843364,0.00005118575],"domain_scores_gemma":[0.9998791,0.00002608198,0.00002461128,0.00001649543,0.00001549375,0.00003818543],"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":[0.00009102756,0.00007824646,0.0001105323,0.00002428956,0.000004877666,0.0001017821,0.00002918867,0.00007690564,0.9973806,0.0001250981,0.00008508264,0.00189229],"study_design_scores_gemma":[0.00005720421,0.0002941119,0.004194187,0.000009525011,0.00003368248,0.0003035656,0.0001373321,0.001202001,0.9897794,0.0001124414,0.003867139,0.000009441076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912813,0.001303592,0.002721431,0.0001561616,0.0001744235,0.00002318151,0.0001824323,0.00009400946,0.004063367],"genre_scores_gemma":[0.9948979,0.0005118924,0.001454263,0.00008457594,0.00002941164,0.0000171225,0.0001379608,0.00002204583,0.002844917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001259982,"threshold_uncertainty_score":0.004215062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206907565336644,"score_gpt":0.2576177242103336,"score_spread":0.2369269676766692,"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."}}