{"id":"W4309700167","doi":"10.3389/fncel.2022.993019","title":"Novel therapeutic approach to slow down the inflammatory cascade in acute/subacute spinal cord injury: Early immune therapy with lipopolysaccharide enhanced neuroprotective effect of combinational therapy of granulocyte colony-stimulating factor and bone-marrow mesenchymal stem cell in spinal cord injury","year":2022,"lang":"en","type":"article","venue":"Frontiers in Cellular Neuroscience","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; International Collaboration on Repair Discoveries; Tehran University of Medical Sciences and Health Services; University of Alberta","keywords":"Medicine; Neuroprotection; Pharmacology; Combination therapy; Spinal cord injury; Mesenchymal stem cell; Bone marrow; Inflammation; Lipopolysaccharide; Stem-cell therapy; Spinal cord; Immunology; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001344994,0.0004901268,0.0006602049,0.0004399474,0.000103312,0.0002784344,0.0002488225,0.0003832768,0.0008194803],"category_scores_gemma":[0.00005781583,0.00007917647,0.0004276557,0.0001800283,0.0002543947,0.0002433414,0.0002578353,0.0007616752,0.00020566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128488,"about_ca_system_score_gemma":0.0002209196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002306721,"about_ca_topic_score_gemma":0.00054105,"domain_scores_codex":[0.9999253,0.00001132689,0.000009628073,0.00001397619,0.00002020452,0.00001956447],"domain_scores_gemma":[0.9999729,0.000002874512,0.000007536369,0.000002611473,0.000005186818,0.000008795401],"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":[0.0009232705,0.001043012,0.0002365289,0.0008483839,0.00006094091,0.0002018785,0.00003492097,0.0003186857,0.9464593,0.0002695782,0.0002340977,0.04936938],"study_design_scores_gemma":[0.0006450042,0.0199652,0.006884954,0.000130919,0.0004187922,0.00148071,0.00006771507,0.00220262,0.955906,0.0003526174,0.01191495,0.0000305037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346493,0.0401667,0.02136238,0.0005296551,0.0003030782,0.0003632866,0.0002031665,0.0002852581,0.002137185],"genre_scores_gemma":[0.9673547,0.01891147,0.01076609,0.0002106754,0.000136059,0.0003168203,0.0002654198,0.00001735817,0.002021377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008194803,"threshold_uncertainty_score":0.002741396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511853574006914,"score_gpt":0.3034656263750143,"score_spread":0.2783470906349452,"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."}}