{"id":"W2980651537","doi":"10.1016/j.it.2019.09.006","title":"Metalloproteases: On the Watch in the Hematopoietic Niche","year":2019,"lang":"en","type":"review","venue":"Trends in Immunology","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Cell biology; Biology; Haematopoiesis; Niche; Stem cell; Progenitor cell; Stromal cell; Metalloproteinase; Matrix metalloproteinase; Hematopoietic stem cell; Immunology; Genetics; Cancer research; 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":[0.000924964,0.0009613278,0.001577509,0.001508038,0.0002996495,0.001947793,0.0009915323,0.00178976,0.004515396],"category_scores_gemma":[0.001254874,0.0002416746,0.000383862,0.001951538,0.0007963596,0.00257526,0.001089528,0.003081428,0.00261942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007950603,"about_ca_system_score_gemma":0.001459678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007308066,"about_ca_topic_score_gemma":0.002348334,"domain_scores_codex":[0.999738,0.00004825397,0.00003491417,0.00004386127,0.00009910094,0.00003576665],"domain_scores_gemma":[0.9992763,0.0002922314,0.00009905858,0.0000183975,0.0001753543,0.0001385932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001573572,0.00004320945,0.0002413712,0.008528486,0.0000798124,0.0001839952,0.0000466357,0.0002108973,0.001372206,0.005022897,0.1220975,0.8620157],"study_design_scores_gemma":[0.00002298988,0.00005273172,0.0004053973,0.001691504,0.00005456164,0.000531208,0.00005035166,0.00005191291,0.0001476716,0.002171063,0.9948083,0.00001242304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005266053,0.9973278,0.00008150437,0.0009685209,0.0009787265,0.000001546843,0.00001247907,0.000007468431,0.0005693226],"genre_scores_gemma":[0.000469384,0.9963968,0.0001361728,0.0008398835,0.001216601,0.000003080266,0.00002395778,0.000001883329,0.0009121841],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004515396,"threshold_uncertainty_score":0.01510555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102766431503511,"score_gpt":0.3732921831578724,"score_spread":0.2630155400075213,"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."}}