{"id":"W3049535451","doi":"10.1096/fj.202001145r","title":"Maresin 1 resolves aged‐associated macrophage inflammation to improve bone regeneration","year":2020,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"National Institute on Aging; Duke University","keywords":"Macrophage; Inflammation; Regeneration (biology); Chemistry; Cell biology; Immunology; Medicine; Biology; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002589816,0.0003541111,0.0004308878,0.0002698478,0.0001140482,0.0001970673,0.0001874371,0.0002986168,0.0009598333],"category_scores_gemma":[0.0001163052,0.0001032525,0.0003318476,0.00008449944,0.0001739411,0.0002376591,0.0001458199,0.0005915611,0.0001957548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001361264,"about_ca_system_score_gemma":0.0001610057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002397241,"about_ca_topic_score_gemma":0.0005875525,"domain_scores_codex":[0.9999346,0.00001299322,0.000007305298,0.00001319903,0.0000137669,0.00001828248],"domain_scores_gemma":[0.999922,0.000005895121,0.00003191724,0.000005542783,0.00001281444,0.00002172616],"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":[0.00108549,0.0003593616,0.0003809613,0.0002009717,0.00002174688,0.00009447172,0.00003395994,0.000145794,0.9856935,0.00013221,0.0000849229,0.0117666],"study_design_scores_gemma":[0.0002915852,0.01275433,0.008774192,0.00004392913,0.0001419676,0.0008130037,0.00006885314,0.00127931,0.9676165,0.0002174412,0.007980579,0.00001824484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880756,0.008362691,0.002513212,0.0001885064,0.00007055357,0.00005245337,0.0001488022,0.00006479202,0.0005233418],"genre_scores_gemma":[0.9880736,0.005565044,0.003363938,0.0001787069,0.00005374896,0.00004971293,0.0002435167,0.00001148726,0.002460224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009598333,"threshold_uncertainty_score":0.003211021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009981385625947274,"score_gpt":0.22485826828374,"score_spread":0.2148768826577928,"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."}}