{"id":"W1965401351","doi":"10.1038/mt.sj.6300119","title":"Imaging the Modulation of Adenoviral Kinetics and Biodistribution for Cancer Gene Therapy","year":2007,"lang":"en","type":"article","venue":"Molecular Therapy","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"Office of Research Infrastructure Programs, National Institutes of Health","keywords":"Biodistribution; Genetic enhancement; Luciferase; Bioluminescence imaging; Cancer research; Molecular biology; Biology; Virology; In vivo; Gene; Transfection; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004189868,0.0003304197,0.0003037369,0.0003256382,0.0001882722,0.0007586657,0.0004292625,0.0006484851,0.0009659823],"category_scores_gemma":[0.0005516701,0.0003177953,0.0001831304,0.0003131262,0.0004306852,0.00094331,0.0002507451,0.00104487,0.0002657454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022901,"about_ca_system_score_gemma":0.0004876932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001376551,"about_ca_topic_score_gemma":0.00128963,"domain_scores_codex":[0.9998888,0.00002803576,0.0000043221,0.000023243,0.00003032395,0.0000253238],"domain_scores_gemma":[0.9998693,0.00006282751,0.00002367548,0.0000142798,0.00001434643,0.00001551641],"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":[0.00007667636,0.00001136883,0.000122085,0.00004265029,0.000002612667,0.00002152966,0.00001670289,0.0002116311,0.9948442,0.001018055,0.00009634811,0.003535992],"study_design_scores_gemma":[0.00001193734,0.00005235093,0.0005696903,0.000006703629,0.000008676629,0.0001808412,0.00001643342,0.004551695,0.991731,0.0003580025,0.002504005,0.000008727468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.786869,0.02743703,0.1724656,0.001608055,0.000186414,0.0001274667,0.0004120824,0.0005653382,0.01032899],"genre_scores_gemma":[0.9417722,0.008612797,0.04357013,0.000273167,0.00004504254,0.00009600675,0.000197401,0.000162349,0.005270916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001376551,"threshold_uncertainty_score":0.007421732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967722029380644,"score_gpt":0.3191932894365889,"score_spread":0.2995160691427825,"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."}}