{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002876673,0.000567209,0.002133497,0.000430557,0.0001095942,0.000009410643,0.0002799875,0.0001494528,0.0002597126],"category_scores_gemma":[0.00002984209,0.0003063312,0.0005112985,0.0006570324,0.00007206752,0.00003243765,0.0001751874,0.0002108271,0.000006161079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005076968,"about_ca_system_score_gemma":0.0001738842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003794687,"about_ca_topic_score_gemma":0.00001068036,"domain_scores_codex":[0.997112,0.0002723746,0.0009660191,0.0006737623,0.0006234152,0.0003524386],"domain_scores_gemma":[0.9982981,0.00009336391,0.000414443,0.0009575163,0.00002510407,0.0002114616],"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":[0.0001271997,0.0004183291,0.0008189788,0.01116975,0.000606501,0.0001890762,0.001963352,0.00004689268,0.001976253,0.000009787671,0.0002967707,0.9823771],"study_design_scores_gemma":[0.0007466852,0.001403693,0.0003106904,0.00604323,0.001075576,0.000084244,0.0005702701,0.00001693978,0.001517341,2.654585e-7,0.9878769,0.0003541937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05646941,0.9393687,0.00003436829,0.0001002978,0.0005848007,0.003106236,0.0001218578,0.00007570332,0.0001385774],"genre_scores_gemma":[0.0112023,0.9752477,0.01002949,0.0002558688,0.0008099797,0.0007276149,0.0001215737,0.0001915144,0.001413938],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9875801,"threshold_uncertainty_score":0.9999389,"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."}}