{"id":"W4255981217","doi":"10.1007/978-1-4614-6438-9_101708-1","title":"Matrix Metalloproteinase-2","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Matrix metalloproteinase; Matrix (chemical analysis); Medicine; Materials science; Internal medicine; Composite material","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":[0.0001511346,0.0009350628,0.0004431545,0.0007228667,0.0002507711,0.001331778,0.0005795971,0.0005299892,0.03305044],"category_scores_gemma":[0.0001905528,0.000269229,0.0002595772,0.0006292444,0.0003913331,0.001107908,0.0007240894,0.001365434,0.03430683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004253608,"about_ca_system_score_gemma":0.0003843027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00025584,"about_ca_topic_score_gemma":0.0005980389,"domain_scores_codex":[0.9998432,0.00001135187,0.000007024687,0.00003697592,0.0000868701,0.00001453076],"domain_scores_gemma":[0.999963,0.000009109155,0.000004412938,0.000005803194,0.00001107051,0.000006513858],"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":[0.00007750326,0.00008019579,0.00009363775,0.0007856149,0.00001696857,0.0003023429,0.000113359,0.000322454,0.05290407,0.05739017,0.2094237,0.6784899],"study_design_scores_gemma":[0.000005048336,0.00001901099,0.0001096288,0.00006354697,0.000004348412,0.0005403698,0.000009494453,0.00008768946,0.005997198,0.004374022,0.9887847,0.000005020097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003598684,0.2398151,0.03999709,0.003358274,0.006772911,0.0001335751,0.001105325,0.001091229,0.7041277],"genre_scores_gemma":[0.009210202,0.06448749,0.007319235,0.0007767681,0.0008280372,0.00008392856,0.0007230163,0.000104475,0.9164668],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03305044,"threshold_uncertainty_score":0.1105648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009327247165310627,"score_gpt":0.2295281514030773,"score_spread":0.2202009042377666,"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."}}