{"id":"W2170918501","doi":"10.1517/14728222.8.5.473","title":"Regulation of MMP-9 gene expression for the development of novel molecular targets against cancer and inflammatory diseases","year":2004,"lang":"en","type":"review","venue":"Expert Opinion on Therapeutic Targets","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Matrix metalloproteinase; Gene expression; Inflammation; Biology; Cancer; Bioinformatics; Computational biology; Signal transduction; Regulation of gene expression; Cancer research; Gene; Cell biology; Immunology; 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":[0.0007920276,0.0009398073,0.001207401,0.001598017,0.0003060604,0.000832436,0.001048372,0.002048438,0.008416503],"category_scores_gemma":[0.0004389256,0.0002645691,0.0005854107,0.001134928,0.0005712425,0.001513389,0.00045629,0.002179963,0.007341784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008140838,"about_ca_system_score_gemma":0.001074073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006529519,"about_ca_topic_score_gemma":0.001678418,"domain_scores_codex":[0.9998037,0.00003766286,0.00001792763,0.00003344505,0.00008262578,0.00002474786],"domain_scores_gemma":[0.9997919,0.00007062908,0.00002994319,0.000009738686,0.00006530921,0.00003248735],"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":[0.0002167247,0.0002007266,0.0001612824,0.009303801,0.00009085674,0.0008524215,0.00007187948,0.0006759395,0.01749617,0.00857025,0.0519093,0.9104506],"study_design_scores_gemma":[0.00007353528,0.0001896957,0.0006462869,0.001335146,0.00006582872,0.002122859,0.00005370934,0.0001417196,0.002061673,0.002972185,0.9903177,0.00001974532],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003548657,0.9932862,0.0009638186,0.001478682,0.0006698428,0.00001772885,0.00002659777,0.00002679074,0.003175452],"genre_scores_gemma":[0.001672626,0.9931324,0.001342937,0.0006773727,0.0004612459,0.00002179576,0.00005319363,0.000003977912,0.002634429],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008416503,"threshold_uncertainty_score":0.02815598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03685347000291404,"score_gpt":0.3278280470816489,"score_spread":0.2909745770787349,"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."}}