{"id":"W2838594489","doi":"10.1177/0022034518777973","title":"Resolving Macrophages Counter Osteolysis by Anabolic Actions on Bone Cells","year":2018,"lang":"en","type":"article","venue":"Journal of Dental Research","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Institute of Musculoskeletal Health and Arthritis; National Institute of Dental and Craniofacial Research; National Institute for Health and Care Research; Canadian Institutes of Health Research; U.S. Public Health Service; National Institutes of Health; Scheme for Promotion of Academic and Research Collaboration","keywords":"Proinflammatory cytokine; Bone resorption; Osteolysis; Periodontitis; Macrophage; Chemistry; Inflammation; Immunology; Bone remodeling; Cell biology; Endocrinology; Medicine; Internal medicine; Biology; In vitro; Biochemistry","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":[0.0002707428,0.0003871104,0.0004944541,0.0003611677,0.0001310525,0.0004362456,0.000339449,0.0004514135,0.001318912],"category_scores_gemma":[0.000202703,0.0001565211,0.000282543,0.0001545548,0.0002957791,0.0002381059,0.0004014185,0.0007745683,0.0005426105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000971181,"about_ca_system_score_gemma":0.0003467946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002795529,"about_ca_topic_score_gemma":0.0006795446,"domain_scores_codex":[0.9997608,0.00005238253,0.0000178994,0.00003724555,0.00005938278,0.00007239311],"domain_scores_gemma":[0.9998438,0.00002090285,0.00004525979,0.00002325188,0.00002737678,0.00003929397],"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":[0.0004250811,0.0001274903,0.000116715,0.0001281813,0.000006660458,0.00006061008,0.00003549497,0.00005401564,0.989636,0.0001704615,0.00007920356,0.009160102],"study_design_scores_gemma":[0.0003509679,0.004115403,0.002721962,0.00006985394,0.00009210921,0.0004985773,0.00009718666,0.000579114,0.9750603,0.0003250777,0.01607765,0.00001190977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742112,0.01585288,0.006009798,0.0004301898,0.0001510607,0.0001624686,0.0001575552,0.0002281814,0.002796696],"genre_scores_gemma":[0.980628,0.007456173,0.006378867,0.0003433879,0.0001263995,0.000159787,0.0002330232,0.0000415155,0.004632878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001318912,"threshold_uncertainty_score":0.004412174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03287402454107217,"score_gpt":0.375900713486504,"score_spread":0.3430266889454318,"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."}}