{"id":"W2103463067","doi":"10.1016/j.joen.2015.05.018","title":"Bioaggregate Inhibits Osteoclast Differentiation, Fusion, and Bone Resorption In Vitro","year":2015,"lang":"en","type":"article","venue":"Journal of Endodontics","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Science Foundation of Guangdong Province; Ontario Council on Graduate Studies, Council of Ontario Universities","keywords":"Osteoclast; Bone resorption; Osteoblast; Chemistry; Activator (genetics); Resorption; Cell biology; Receptor; In vitro; Internal medicine; Endocrinology; Biochemistry; Biology; Medicine","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":[0.0002330211,0.00008503958,0.0001573262,0.0001028577,0.0000186971,0.00002556428,0.00005568733,0.00007014236,0.000001775084],"category_scores_gemma":[0.0003059096,0.00007068591,0.00004831451,0.0000757692,0.00003716906,0.00001106177,0.00005552069,0.00007585529,0.000001121897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009029442,"about_ca_system_score_gemma":0.00007059859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008278607,"about_ca_topic_score_gemma":0.00002058941,"domain_scores_codex":[0.9992824,0.00006216293,0.0002963844,0.00009420086,0.0001517367,0.0001131343],"domain_scores_gemma":[0.9993421,0.000008387959,0.000212629,0.00009839943,0.0001979783,0.0001404624],"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":[0.000568682,0.0001087337,0.01380207,0.00001331319,0.00001549622,0.00001702596,0.00009336686,0.0000158305,0.9789621,0.00002296992,0.001297249,0.005083159],"study_design_scores_gemma":[0.005161691,0.0003640379,0.06219248,0.00006804445,0.00008969168,0.0001920757,0.0003073028,0.000101303,0.9113073,0.000547704,0.01943284,0.0002354997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935551,0.005448211,0.0004152203,0.0002166876,0.0002263815,0.00004669197,0.00000933809,0.000001967122,0.00008039162],"genre_scores_gemma":[0.9978728,0.0008147317,0.0007698294,0.0001043744,0.0002870602,7.545646e-7,0.00001837253,0.000009119712,0.0001229922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06765477,"threshold_uncertainty_score":0.2882488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328718188668347,"score_gpt":0.2342025100937242,"score_spread":0.2209153282070407,"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."}}