{"id":"W2129471398","doi":"10.1158/1078-0432.ccr-06-3085","title":"Imaging and Modulating Antisense Microdistribution in Solid Human Xenograft Tumor Models","year":2007,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"University of Pennsylvania","keywords":"Biodistribution; Tumor microenvironment; Distribution (mathematics); Apoptosis; Necrosis; Cancer research; Tumor hypoxia; Hypoxia (environmental); Pathology; Chemistry; Medicine; Radiation therapy; Tumor cells; In vitro; Internal medicine; Biochemistry; Oxygen","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":[0.0002762488,0.0004733543,0.0002629747,0.0002821088,0.000110236,0.0002307209,0.0002149843,0.0002398323,0.0007288189],"category_scores_gemma":[0.0001020277,0.0001687736,0.0001859403,0.000213142,0.000216107,0.0001669064,0.000141367,0.0004332468,0.0002704784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003798244,"about_ca_system_score_gemma":0.0002511015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042867,"about_ca_topic_score_gemma":0.002542193,"domain_scores_codex":[0.9998646,0.00002168785,0.00000700851,0.00004408275,0.00004386226,0.00001877611],"domain_scores_gemma":[0.999923,0.0000164317,0.00002422233,0.000009949976,0.00001538828,0.00001101496],"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":[0.00007393043,0.0000352928,0.0001567961,0.00002584638,0.000003641184,0.00001813999,0.00001702405,0.0004295589,0.997934,0.00006336566,0.00004190172,0.001200633],"study_design_scores_gemma":[0.00001452572,0.0003910543,0.001261697,0.000002642533,0.00001341427,0.0001003495,0.00001626369,0.004339449,0.9928156,0.00002337118,0.001018213,0.000003381999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513342,0.001898075,0.04389671,0.00009415158,0.00003997128,0.000154397,0.0006784948,0.0004006637,0.001503494],"genre_scores_gemma":[0.970719,0.001774656,0.02376337,0.00002587847,0.00001088845,0.0001610877,0.0007747527,0.00005804392,0.002712331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002042867,"threshold_uncertainty_score":0.004061997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1504211699665401,"score_gpt":0.5180432461237009,"score_spread":0.3676220761571608,"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."}}