{"id":"W2473212441","doi":"10.12688/f1000research.8217.1","title":"Recent insights: mesenchymal stromal/stem cell therapy for acute respiratory distress syndrome","year":2016,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"University of Toronto; Health Research Board","keywords":"ARDS; Mesenchymal stem cell; Medicine; Microvesicles; Cell therapy; Stromal cell; Stem-cell therapy; Stem cell; Immunology; Inflammation; Paracrine signalling; Immune system; Cancer research; Lung; Bioinformatics; Biology; Pathology; Cell biology; Internal medicine; microRNA","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":[0.00095988,0.0006083359,0.0004202993,0.0006906771,0.0002316447,0.001482008,0.0003300973,0.00140925,0.0107376],"category_scores_gemma":[0.0007155733,0.0001169468,0.0003527031,0.0006780322,0.0004840492,0.0008689926,0.0004819223,0.001850932,0.00571868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005952357,"about_ca_system_score_gemma":0.0007194898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006671466,"about_ca_topic_score_gemma":0.001358352,"domain_scores_codex":[0.9997889,0.00003853647,0.00002408544,0.00003192483,0.00008857866,0.0000280154],"domain_scores_gemma":[0.9996152,0.00008283788,0.00003097738,0.00001774373,0.0001665888,0.00008660935],"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":[0.0004713992,0.0001615654,0.0003167671,0.005997328,0.0001388353,0.0008296073,0.0001524682,0.0004575056,0.0247226,0.01559739,0.2298108,0.7213438],"study_design_scores_gemma":[0.0001259818,0.0002700691,0.001117003,0.0006282047,0.00008908149,0.0008872282,0.0001073676,0.0002742585,0.007951204,0.004142335,0.9843888,0.00001846895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005642673,0.8871857,0.00432964,0.04644227,0.02769616,0.0001060245,0.0006880735,0.0002286998,0.02768081],"genre_scores_gemma":[0.03370764,0.8677008,0.005502986,0.01291707,0.02441765,0.00008395458,0.0009114057,0.0001177151,0.05464081],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0107376,"threshold_uncertainty_score":0.03592086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032922435205716,"score_gpt":0.396081699488891,"score_spread":0.2927894559683194,"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."}}