{"id":"W1980754289","doi":"10.1016/j.brainres.2009.12.043","title":"Microglia transplantation attenuates white matter injury in rat chronic ischemia model via matrix metalloproteinase-2 inhibition","year":2009,"lang":"en","type":"article","venue":"Brain Research","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia Hospital","funders":"","keywords":"Microglia; Transplantation; Pathology; Ischemia; Medicine; Mesenchymal stem cell; Hyperintensity; White matter; Immunology; Internal medicine; Inflammation; Magnetic resonance imaging","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000448292,0.0001869828,0.0001760721,0.0002938547,0.0001815085,0.0001026932,0.0002059797,0.0001144677,0.0003184716],"category_scores_gemma":[0.00008241436,0.0001596888,0.00007821107,0.0005632239,0.00009516062,0.000292709,0.00004886432,0.0004169485,0.0006184416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001254775,"about_ca_system_score_gemma":0.0000684745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001672521,"about_ca_topic_score_gemma":0.000008465505,"domain_scores_codex":[0.997453,0.000409746,0.0002553269,0.0006566508,0.0005895312,0.0006357365],"domain_scores_gemma":[0.999387,0.0001212748,0.00004017874,0.0002638853,0.00004542361,0.0001422165],"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":[0.0002877228,0.0002473428,0.0001877366,0.00004087808,0.000001701699,0.0003606809,0.0000542271,0.0001724722,0.9956669,0.0005672032,0.0008761774,0.001536908],"study_design_scores_gemma":[0.000950673,0.0004259374,0.001764661,0.00003856404,0.000006579591,0.0000202482,0.000003797236,0.007107826,0.9721972,0.01725323,0.00006486611,0.0001663668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910315,0.00006190465,0.0007617922,0.00644551,0.00002639905,0.0008474698,0.0000556087,0.000055801,0.0007140748],"genre_scores_gemma":[0.996034,0.00007025078,0.0002759602,0.001629804,0.00003210686,0.0001372758,0.00003133653,0.00002011719,0.001769142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0234697,"threshold_uncertainty_score":0.7949021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04598077077349957,"score_gpt":0.3520791144725867,"score_spread":0.3060983436990872,"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."}}