{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005503736,0.00008731324,0.0001350411,0.0001682279,0.0001868366,0.00007714721,0.0002290661,0.0000745575,0.0001713465],"category_scores_gemma":[0.0001758286,0.00007101557,0.0001271199,0.000183656,0.0002100896,0.00001067804,0.00009247827,0.0002181105,0.00008189802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000232023,"about_ca_system_score_gemma":0.00009053586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001946227,"about_ca_topic_score_gemma":0.00001985506,"domain_scores_codex":[0.9986064,0.0001621896,0.0002231876,0.0001570516,0.0005695507,0.0002815811],"domain_scores_gemma":[0.9990982,0.00003320405,0.00009104049,0.0002116228,0.0003720344,0.0001938482],"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":[0.000344691,0.0001520256,0.0008763601,0.000005575998,0.0000399942,0.00002854341,0.00002042325,9.7801e-7,0.8821508,0.000005855964,0.1136642,0.002710545],"study_design_scores_gemma":[0.0005514667,0.0007726684,0.003551878,0.00002275094,0.00001973825,0.00005584319,0.0003109554,0.000003675223,0.8570877,0.00002163628,0.137523,0.00007865741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928786,0.004631976,0.0000383585,0.0001433944,0.0002389368,0.0000590509,0.00004247906,0.000002039395,0.001965181],"genre_scores_gemma":[0.994772,0.001360046,0.00008869799,0.0001571365,0.00097565,0.000002281284,0.000008135827,0.0000159472,0.002620176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02506306,"threshold_uncertainty_score":0.2895931,"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."}}