{"id":"W2147471000","doi":"10.1158/1535-7163.mct-05-0082","title":"Inhibition of invasion, angiogenesis, tumor growth, and metastasis by adenovirus-mediated transfer of antisense uPAR and MMP-9 in non–small cell lung cancer cells","year":2005,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"Immunovaccine (Canada)","funders":"National Institute of Neurological Disorders and Stroke; National Cancer Institute","keywords":"Urokinase receptor; Cancer research; Metastasis; Angiogenesis; Matrix metalloproteinase; Zymography; Lung cancer; Biology; Cancer cell; Cancer; Molecular biology; Pathology; Chemistry; Plasminogen activator; Medicine; Internal medicine; Endocrinology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001221328,0.0002251672,0.0002896067,0.00008992943,0.00002959649,0.000009635708,0.00008375617,0.0001564,0.00001257263],"category_scores_gemma":[0.000003517236,0.0002259123,0.00008178373,0.0001649817,0.00009285697,0.000009813573,0.00004732016,0.00008420394,2.404558e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001843985,"about_ca_system_score_gemma":0.00009215406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002451655,"about_ca_topic_score_gemma":0.0001274777,"domain_scores_codex":[0.9988159,0.00008627097,0.0003482133,0.0003571356,0.0001518574,0.0002406371],"domain_scores_gemma":[0.9995313,0.00000914954,0.0001016621,0.0001910419,0.00008813365,0.0000787036],"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":[0.0001265995,0.0001126324,0.0009839995,0.0001883402,0.0001098163,0.000006500057,0.0001631646,0.00003951156,0.9970071,0.000007126513,0.00006497874,0.001190253],"study_design_scores_gemma":[0.001372754,0.0001691243,0.0001500997,0.00007963459,0.0001849569,0.000002943186,0.00004065832,0.0001713025,0.9970791,0.00001484053,0.0004948847,0.0002397211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516422,0.04554943,0.001879406,0.0001133789,0.00004189718,0.0004023178,0.0003433976,0.00000508928,0.00002287765],"genre_scores_gemma":[0.9859743,0.01253994,0.0004389152,0.0008425547,0.00003834246,0.00006214116,0.00005311503,0.0000407896,0.000009884719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03433211,"threshold_uncertainty_score":0.9212436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008975766653876045,"score_gpt":0.2287185695020593,"score_spread":0.2197428028481833,"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."}}