{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00172863,0.0004757717,0.0009686937,0.001078815,0.0002572033,0.00005255024,0.0008457981,0.0001112941,0.000004504387],"category_scores_gemma":[0.00008720974,0.0003653175,0.000129887,0.002320504,0.0007998326,0.0002761533,0.0003342632,0.001532207,3.394572e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003419542,"about_ca_system_score_gemma":0.0003923129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003530881,"about_ca_topic_score_gemma":0.00000526586,"domain_scores_codex":[0.9948872,0.0008789861,0.0008686202,0.001009318,0.001620227,0.0007357025],"domain_scores_gemma":[0.9984133,0.0001587908,0.0004678699,0.0006504043,0.000150998,0.0001586103],"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":[0.08381794,0.0005067837,0.0521141,0.00008807492,0.00002236534,0.0001111476,0.0003590694,0.0002012522,0.8390811,0.00001875897,0.000003305821,0.02367609],"study_design_scores_gemma":[0.005060001,0.07167446,0.3428333,0.0001170077,0.00001997037,0.00008676913,0.0003617037,0.005747324,0.5736908,0.00001865773,0.0000378484,0.0003521504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901356,0.0007812039,0.004231307,0.000157466,0.0003947713,0.004191076,0.00005043279,0.00002437272,0.00003380898],"genre_scores_gemma":[0.9983545,0.0001261926,0.0006456429,0.0001817442,0.00002048225,0.0005386666,0.000004992522,0.00006090524,0.0000668565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2907192,"threshold_uncertainty_score":0.9998799,"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."}}