{"id":"W2964538931","doi":"10.3390/ijms20163847","title":"Matrix Metalloproteases as Influencers of the Cells’ Social Media","year":2019,"lang":"en","type":"review","venue":"International Journal of Molecular Sciences","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"","keywords":"Matrix metalloproteinase; Extracellular matrix; Context (archaeology); Cell biology; Metastasis; Chemokine; Proinflammatory cytokine; Matrix (chemical analysis); Biology; Immunology; Cancer research; Inflammation; Chemistry; Cancer; Biochemistry; Genetics","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":[0.0004204103,0.0009253024,0.001090026,0.002148491,0.0003972686,0.001333575,0.0007044147,0.001089888,0.002560575],"category_scores_gemma":[0.0003586453,0.0002943618,0.0004218467,0.001418124,0.0007535216,0.001291656,0.0007577231,0.001752082,0.001639222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007589346,"about_ca_system_score_gemma":0.0006619952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008368547,"about_ca_topic_score_gemma":0.00140437,"domain_scores_codex":[0.9998193,0.00003434215,0.0000201384,0.00003405267,0.00006973076,0.00002241805],"domain_scores_gemma":[0.9998302,0.00008205223,0.00002467499,0.000005953868,0.00003970349,0.00001730893],"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":[0.00007809169,0.00008198954,0.0003439772,0.01589116,0.0001079716,0.0004230754,0.0001714288,0.0003934377,0.008014371,0.02018033,0.02109584,0.9332183],"study_design_scores_gemma":[0.00001160033,0.00008186846,0.001036901,0.001440142,0.00006349345,0.00110371,0.00008600434,0.0001312074,0.002566394,0.004180505,0.9892718,0.00002647666],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001727349,0.9978899,0.0002297563,0.0002386246,0.000202956,0.000005542734,0.0000147026,0.000007276788,0.001238486],"genre_scores_gemma":[0.001461559,0.99721,0.0002080684,0.0001083186,0.0001551725,0.00001029225,0.00002026683,0.000001311434,0.0008250246],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002560575,"threshold_uncertainty_score":0.008566022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03137570373136065,"score_gpt":0.3431250342266101,"score_spread":0.3117493304952494,"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."}}