{"id":"W1995732882","doi":"10.1016/j.jconrel.2010.01.023","title":"A novel strategy to tag matrix metalloproteinases-positive cells for in vivo imaging of invasive and metastatic activity of tumor cells","year":2010,"lang":"en","type":"article","venue":"Journal of Controlled Release","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institut national de la recherche scientifique","keywords":"Matrix metalloproteinase; In vivo; Cancer research; Matrix (chemical analysis); Tumor cells; Metastatic tumor; Metastasis; Medicine; In vitro; Pathology; Chemistry; Biology; Internal medicine; Cancer; Biochemistry; Biotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005906372,0.0001590894,0.0006373771,0.0001590253,0.00002394693,0.00001454884,0.00012956,0.00005426455,0.00001100964],"category_scores_gemma":[0.0003973474,0.0001271958,0.0002533785,0.00007579571,0.00004997123,0.0000186737,0.00004242737,0.0001669444,2.089168e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009647979,"about_ca_system_score_gemma":0.0003033683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004726223,"about_ca_topic_score_gemma":0.00004014415,"domain_scores_codex":[0.9988785,0.00007933664,0.0005350771,0.0001659468,0.0001626138,0.00017854],"domain_scores_gemma":[0.9985018,0.000119374,0.0007171807,0.0001464472,0.0003703963,0.0001447982],"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":[0.005203862,0.0002959485,0.000009226916,0.00007696499,0.0001676404,0.0000270627,0.00003058628,0.0001174292,0.9935348,0.00006184148,0.00005329782,0.0004213126],"study_design_scores_gemma":[0.01009151,0.001562719,0.00001905013,0.00007743293,0.0001773903,0.00005014156,0.00009061006,0.0003614024,0.9872105,0.0001930699,0.00004678072,0.0001193967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897187,0.000411734,0.008506889,0.00007300165,0.0001157524,0.0009914702,0.0001498054,9.812757e-7,0.00003170054],"genre_scores_gemma":[0.9933493,0.0000315758,0.006367115,0.00006907265,0.00008651699,0.00003087584,0.000001374701,0.00001583524,0.00004834827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00632433,"threshold_uncertainty_score":0.5186894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006372405665367618,"score_gpt":0.250658005302523,"score_spread":0.2442855996371553,"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."}}