{"id":"W4283780827","doi":"10.3390/biomedicines10071570","title":"Creating an Optimal In Vivo Environment to Enhance Outcomes Using Cell Therapy to Repair/Regenerate Injured Tissues of the Musculoskeletal System","year":2022,"lang":"en","type":"review","venue":"Biomedicines","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary; Alberta Health Services","funders":"Alberta Health Services","keywords":"Regeneration (biology); Mesenchymal stem cell; Inflammation; Anabolism; Osteoarthritis; Medicine; Tissue engineering; Anabolic Agents; Cartilage; Stem cell; Bioinformatics; Cell biology; Pathology; Biology; Immunology; Biomedical engineering; Anatomy; Internal medicine","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":[0.0008215773,0.0005143799,0.0006641001,0.0008271376,0.0003999097,0.001439944,0.0003523011,0.0008550765,0.003196239],"category_scores_gemma":[0.0004512891,0.0002300676,0.0005464356,0.0003718104,0.0005284525,0.0007581977,0.0007427372,0.001510139,0.00119888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003629878,"about_ca_system_score_gemma":0.0007642636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005425161,"about_ca_topic_score_gemma":0.00121533,"domain_scores_codex":[0.9994785,0.0000985149,0.00004862227,0.00008217173,0.0001974678,0.00009476597],"domain_scores_gemma":[0.9997956,0.00003677557,0.00005383599,0.00001993277,0.00005093479,0.00004298566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001521344,0.0005869421,0.0005558304,0.0007666617,0.00002957367,0.0002357293,0.0001412529,0.001326707,0.9646491,0.001359554,0.000981114,0.02921532],"study_design_scores_gemma":[0.0001443473,0.004306433,0.005436544,0.0004225643,0.0002151042,0.001049389,0.0004823378,0.004851261,0.9279981,0.001501962,0.05352226,0.0000697921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7315338,0.05559299,0.176571,0.003179236,0.001676073,0.001588802,0.0007237392,0.001211083,0.02792332],"genre_scores_gemma":[0.8933313,0.02423912,0.07302953,0.001547887,0.0003480739,0.001119844,0.0004650797,0.0002002791,0.0057188],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003196239,"threshold_uncertainty_score":0.01069248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04108496668406099,"score_gpt":0.3710452629397384,"score_spread":0.3299602962556775,"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."}}