{"id":"W2896529929","doi":"10.1155/2018/8179075","title":"Mesenchymal Stem Cell Therapy for Ischemic Tissues","year":2018,"lang":"en","type":"review","venue":"Stem Cells International","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre; University of British Columbia; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Mesenchymal stem cell; Medicine; Stem-cell therapy; Angiogenesis; Disease; Cell therapy; Paracrine signalling; Regeneration (biology); Bioinformatics; Inflammation; Therapeutic angiogenesis; Critical limb ischemia; Ischemia; Myocardial infarction; Stem cell; Ischemic stroke; Pathogenesis; Immunology; Pathology; Cancer research; Neovascularization; Internal medicine; Revascularization; Biology; Cell biology; Receptor","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003228244,0.0005254095,0.0006006832,0.002115923,0.0002808898,0.0006786427,0.0004350129,0.0007483898,0.004422074],"category_scores_gemma":[0.0003324993,0.0001343814,0.0003959011,0.001294676,0.0003618675,0.0008268972,0.0006071982,0.001293792,0.002162253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003095728,"about_ca_system_score_gemma":0.0007190778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005575074,"about_ca_topic_score_gemma":0.001050074,"domain_scores_codex":[0.9998708,0.00001633387,0.00001994737,0.00001848647,0.0000646536,0.000009930271],"domain_scores_gemma":[0.9998792,0.00005369134,0.00001660888,0.000005129905,0.00003299053,0.00001238563],"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":[0.00003393682,0.00008082715,0.0001526967,0.01080541,0.00004956292,0.0002506086,0.00007547906,0.0002263134,0.006273529,0.005791452,0.02094621,0.955314],"study_design_scores_gemma":[0.000008523105,0.00006080906,0.0005123045,0.002036607,0.00005815843,0.001647048,0.00004696093,0.00008728633,0.001904082,0.001858791,0.9917673,0.0000121825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003240141,0.9960375,0.0004063853,0.0003189889,0.0003286307,0.000009539028,0.00002323587,0.00001377083,0.002538012],"genre_scores_gemma":[0.001510178,0.9961768,0.0004110021,0.0001698615,0.0001841683,0.00000937273,0.00003646256,0.000002568973,0.001499527],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004422074,"threshold_uncertainty_score":0.01479328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116849249677138,"score_gpt":0.4064853873135829,"score_spread":0.2948004623458691,"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."}}