{"id":"W2891327150","doi":"10.1002/jbmr.3585","title":"TIMP Loss Activates Metalloproteinase-TNFα-DKK1 Axis To Compromise Wnt Signaling and Bone Mass","year":2018,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"RANKL; Wnt signaling pathway; Tissue inhibitor of metalloproteinase; Bone remodeling; DKK1; Osteoprotegerin; Matrix metalloproteinase; Cell biology; Bone resorption; Endocrinology; Sclerostin; Biology; Internal medicine; Knockout mouse; Chemistry; Osteoclast; Stromal cell; Signal transduction; Receptor; Cancer research; Medicine; Activator (genetics)","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":[0.001144606,0.0001408259,0.0003111355,0.0002007682,0.0001646162,0.00009424594,0.0001040968,0.0000926265,0.00004052202],"category_scores_gemma":[0.0004343993,0.0001077606,0.00008674485,0.0001553783,0.000229393,0.0000196915,0.0001863189,0.0002022693,0.000006034443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009660435,"about_ca_system_score_gemma":0.0001135421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005591956,"about_ca_topic_score_gemma":0.00001430917,"domain_scores_codex":[0.99852,0.0001441637,0.0003318741,0.0002465704,0.0003951101,0.0003622752],"domain_scores_gemma":[0.9987432,0.00004263312,0.0001009062,0.0001668216,0.0005175222,0.0004289346],"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":[0.001009445,0.00008207333,0.0006123125,0.00003696758,0.00006228966,0.00007537549,0.00007251602,0.000002358947,0.9893882,0.00003762365,0.00363813,0.004982662],"study_design_scores_gemma":[0.001861032,0.002433524,0.005015268,0.00009810648,0.00005563625,0.0002506225,0.0003023295,0.00003356184,0.930023,0.0006589168,0.05900916,0.0002588274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916017,0.006831385,0.0002099318,0.0009253371,0.00005701554,0.0001666068,0.00001275405,0.000002624983,0.0001926584],"genre_scores_gemma":[0.9940854,0.0006948037,0.002841652,0.0001692891,0.0007991155,0.000007311088,0.000005582767,0.00001783311,0.00137904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05936524,"threshold_uncertainty_score":0.4394351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316450616463885,"score_gpt":0.3387162623734961,"score_spread":0.3055517562088573,"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."}}