{"id":"W2341088037","doi":"10.1016/j.cell.2016.04.001","title":"Progranulin Deficiency Promotes Circuit-Specific Synaptic Pruning by Microglia via Complement Activation","year":2016,"lang":"en","type":"article","venue":"Cell","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":736,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"National Center for Advancing Translational Sciences; National Institute of Allergy and Infectious Diseases; National Institute on Aging; National Institutes of Health; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; University of British Columbia; U.S. Department of Veterans Affairs","keywords":"Biology; Synaptic pruning; Microglia; Pruning; Complement (music); Neuroscience; Complement system; Synapse; Cell biology; Inflammation; Biochemistry; Immunology; Immune system; Phenotype; Gene","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":[0.0001667637,0.000659471,0.0003347812,0.0004375855,0.0002676305,0.0004553608,0.000354245,0.0005305844,0.001428397],"category_scores_gemma":[0.0002218098,0.0001680002,0.000340008,0.0001392999,0.0005659566,0.0003092569,0.0003626328,0.0008993055,0.0003086139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005847764,"about_ca_system_score_gemma":0.0003970045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009350749,"about_ca_topic_score_gemma":0.002103867,"domain_scores_codex":[0.9998412,0.00003155373,0.00001230728,0.00002641776,0.00003530013,0.00005317631],"domain_scores_gemma":[0.9998622,0.00001711329,0.0000382447,0.00001839535,0.00001613171,0.00004787555],"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":[0.001014404,0.00005600762,0.0005007988,0.00007279207,0.00003582007,0.0006420547,0.00002975479,0.0001317007,0.9944927,0.0005055198,0.0001584932,0.002360028],"study_design_scores_gemma":[0.0003309114,0.001219387,0.02549705,0.0000699463,0.0001665038,0.002605497,0.0002613833,0.002250261,0.9624436,0.001860754,0.003268698,0.00002593333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958483,0.001198911,0.001028016,0.0002400842,0.00003932468,0.00001673974,0.0001388739,0.00005316384,0.001436694],"genre_scores_gemma":[0.9969273,0.0005628348,0.0008638862,0.00007008762,0.00001393194,0.00002799528,0.0001036829,0.00001505767,0.00141517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001428397,"threshold_uncertainty_score":0.004778445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03838981195035738,"score_gpt":0.2735175478672346,"score_spread":0.2351277359168772,"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."}}