{"id":"W2036175159","doi":"10.2741/2345","title":"Engineering cardiac healing using embryonic stem cell-derived cardiac cell seeded constructs","year":2007,"lang":"en","type":"review","venue":"Frontiers in bioscience","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Embryonic stem cell; Regenerative medicine; Tissue engineering; Stem cell; Regeneration (biology); Transplantation; Revascularization; Myocardial infarction; Medicine; Neuroscience; Embryonic heart; Cell; Cell therapy; Biomedical engineering; Cardiology; Cell biology; Biology; Surgery","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":[0.0004995903,0.0008009998,0.0009494061,0.001299508,0.0001932738,0.0006937376,0.0006863038,0.0007093239,0.0018695],"category_scores_gemma":[0.0003141572,0.000209361,0.000261705,0.001191564,0.0004490215,0.0006955572,0.0003810643,0.0007151939,0.002557751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004428506,"about_ca_system_score_gemma":0.0004652073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006593955,"about_ca_topic_score_gemma":0.0008955435,"domain_scores_codex":[0.9998499,0.00001569542,0.00001659454,0.00002823648,0.00007727795,0.00001231037],"domain_scores_gemma":[0.9998879,0.00004249535,0.00001863526,0.000005424754,0.00003518737,0.00001032508],"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":[0.00005496721,0.00009262109,0.0002309866,0.006935659,0.00003570514,0.0003617254,0.0000740905,0.0006943247,0.04815249,0.004450154,0.006289113,0.9326283],"study_design_scores_gemma":[0.00002556293,0.0002060298,0.001268359,0.001570976,0.00006935126,0.002314574,0.00009566896,0.0002967503,0.0361036,0.001935986,0.9560814,0.00003170185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001454761,0.9917595,0.002087777,0.0001250723,0.0002497787,0.00001986138,0.00002900289,0.00002801401,0.004246231],"genre_scores_gemma":[0.004483221,0.9896333,0.002093904,0.0001006695,0.00007054805,0.00001756252,0.00007113792,0.000005499433,0.003524069],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0018695,"threshold_uncertainty_score":0.006254077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03814506626805593,"score_gpt":0.2975401120709842,"score_spread":0.2593950458029283,"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."}}