{"id":"W1964138393","doi":"10.1046/j.1365-2141.2001.03160.x","title":"Matrix metalloproteinase and tissue inhibitors of metalloproteinase secretion by haematopoietic and stromal precursors and their production in normal and leukaemic long‐term marrow cultures","year":2001,"lang":"en","type":"article","venue":"British Journal of Haematology","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Canadian Blood Services","funders":"National Heart, Lung, and Blood Institute","keywords":"Haematopoiesis; Matrix metalloproteinase; Stromal cell; Bone marrow; Biology; Fibroblast; Extracellular matrix; Cell culture; Immunology; Molecular biology; Cell biology; Chemistry; Stem cell; Cancer research; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003172026,0.0002298271,0.0002587218,0.0003007522,0.0001161561,0.0003222586,0.000224672,0.0001710033,0.001250785],"category_scores_gemma":[0.0002918355,0.0001196663,0.0001424529,0.0002615846,0.00016651,0.0001904144,0.0002852899,0.0003918811,0.000483952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001389555,"about_ca_system_score_gemma":0.0001642301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004055187,"about_ca_topic_score_gemma":0.0005670686,"domain_scores_codex":[0.9997694,0.00004222318,0.00004502841,0.00003652889,0.00007323709,0.00003360209],"domain_scores_gemma":[0.9997579,0.00005457097,0.00004193209,0.00003751355,0.00005377054,0.00005427529],"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":[0.0003908864,0.00005053201,0.001052321,0.00005496073,0.000004660581,0.0001618899,0.0001052543,0.00003119915,0.9962921,0.00006773089,0.00003510272,0.0017535],"study_design_scores_gemma":[0.00007746756,0.001903989,0.05694774,0.00004560776,0.00005974981,0.002079025,0.00031049,0.001049659,0.926872,0.0001943873,0.01044021,0.00001961451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987447,0.007861948,0.002777194,0.00003510389,0.00002728294,0.00006454975,0.0006989017,0.00003430327,0.001053744],"genre_scores_gemma":[0.9852846,0.00340556,0.004890915,0.00004259616,0.00004269255,0.0002222987,0.002980928,0.00001304961,0.00311739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001250785,"threshold_uncertainty_score":0.004184246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004555753348917518,"score_gpt":0.2304673255071212,"score_spread":0.2259115721582037,"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."}}