{"id":"W2989870723","doi":"10.1186/s13287-019-1465-9","title":"Allogeneic mesenchymal stem cells for treatment of severe burn injury","year":2019,"lang":"en","type":"article","venue":"Stem Cell Research & Therapy","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Hospital; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; National Institutes of Health; Ontario Institute for Regenerative Medicine","keywords":"Mesenchymal stem cell; Medicine; Burn injury; Wound healing; Burn wound; Severe burn; Stem cell; Surgery; Adverse effect; Pathology; Internal medicine; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006015014,0.0002174723,0.000528858,0.000217415,0.0001219984,0.00002205598,0.0001425375,0.0001476184,0.0002438798],"category_scores_gemma":[0.000001173966,0.000148708,0.00023517,0.0002382321,0.00007632758,0.0000398282,0.00002234221,0.000112765,0.0002498177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003355108,"about_ca_system_score_gemma":0.0004222157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001577764,"about_ca_topic_score_gemma":0.000004592179,"domain_scores_codex":[0.9977326,0.0001959896,0.0003183077,0.0004323843,0.0006750038,0.0006456827],"domain_scores_gemma":[0.998316,0.0003847755,0.00007839781,0.0006510424,0.0003305205,0.0002392122],"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":[0.01165495,0.00533045,0.04983422,0.0009792643,0.001265021,0.00007989189,0.004879327,0.00003506421,0.6740876,0.0002577873,0.003412163,0.2481842],"study_design_scores_gemma":[0.01359504,0.02520902,0.001425042,0.0001576764,0.00005967193,0.00001296722,0.001765475,0.00007936817,0.8296344,0.0001808435,0.1276368,0.0002437071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883853,0.00404376,0.000005362304,0.0002816082,0.0001805054,0.002945499,0.00007393175,0.00003442424,0.00404959],"genre_scores_gemma":[0.9374837,0.003760585,0.0001923809,0.00003460534,0.0001293349,0.0001886491,0.00002554558,0.00005016135,0.05813509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2479405,"threshold_uncertainty_score":0.6064135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080144158081336,"score_gpt":0.3991784390930613,"score_spread":0.2911640232849277,"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."}}