{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000196757,0.000658372,0.0004771134,0.0004956229,0.0001913698,0.0004762777,0.00027119,0.0003850346,0.003231268],"category_scores_gemma":[0.0001346484,0.0002818556,0.0004555069,0.0002900679,0.0003859118,0.0002481466,0.0002785645,0.001368486,0.0009704424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005118574,"about_ca_system_score_gemma":0.0003634387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006584737,"about_ca_topic_score_gemma":0.001057961,"domain_scores_codex":[0.9995734,0.0000339437,0.00006326284,0.00009844507,0.0001235123,0.0001073147],"domain_scores_gemma":[0.9996732,0.00001918045,0.0001494373,0.00002584569,0.00001930626,0.0001129445],"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":[0.0002752543,0.0000450412,0.0002296809,0.00006232865,0.000007537836,0.00009251457,0.000009949792,0.00004971984,0.9983418,0.0001037265,0.00007891389,0.0007034376],"study_design_scores_gemma":[0.00005807142,0.0004006078,0.004227517,0.0000122318,0.00002877542,0.0006182198,0.00004351269,0.00080873,0.9888369,0.00006690197,0.004891664,0.000006809796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841229,0.002749046,0.005671299,0.0003643679,0.0002017221,0.0001143106,0.003581945,0.0005673025,0.002627062],"genre_scores_gemma":[0.9835216,0.00144907,0.003771812,0.0001370248,0.00003112962,0.0001509498,0.002149037,0.00008039433,0.008709011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003231268,"threshold_uncertainty_score":0.01080966,"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."}}