{"id":"W2082697011","doi":"10.1038/mt.2012.259","title":"A Molecular Imaging System Based on Both Transcriptional and Genomic Amplification to Detect Prostate Cancer Cells In Vivo","year":2012,"lang":"en","type":"article","venue":"Molecular Therapy","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec","funders":"National Cancer Institute; Prostate Cancer Canada","keywords":"Reporter gene; Promoter; Biology; Gene; Molecular biology; Computational biology; Gene expression; Cancer research; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004328107,0.000245442,0.0001706584,0.0001792237,0.00006661136,0.00004506117,0.0001921667,0.00008751423,0.00002429084],"category_scores_gemma":[0.000005621839,0.0002472369,0.0000839675,0.0001823967,0.00004850684,0.000006918685,0.00002350573,0.0001183557,0.00001092936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001096759,"about_ca_system_score_gemma":0.00009864908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006020101,"about_ca_topic_score_gemma":0.00002448352,"domain_scores_codex":[0.9983092,0.0002368523,0.0002157801,0.0004661102,0.0002666788,0.0005054052],"domain_scores_gemma":[0.9992715,0.00000889742,0.00005033611,0.0004258162,0.00005235093,0.000191108],"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":[0.001829541,0.00006547877,0.001045107,0.00002343471,0.00003257452,0.000009183264,0.000118637,0.004099643,0.9858955,0.00003683315,0.00003290481,0.006811216],"study_design_scores_gemma":[0.001425128,0.0005632461,0.00177503,0.00003431363,0.00000617648,0.00000401126,0.00003330605,0.0009837903,0.9903262,0.000009746992,0.004557704,0.0002813689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854915,0.005823292,0.007204616,0.0003561161,0.00008287673,0.0008630005,0.00005430296,0.00002243725,0.0001018525],"genre_scores_gemma":[0.9964226,0.0002403798,0.0005308756,0.002228199,0.00006732334,0.0003826255,0.00002655097,0.00007466612,0.0000267952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01093108,"threshold_uncertainty_score":0.999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152775205091297,"score_gpt":0.2721538249226602,"score_spread":0.2606260728717472,"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."}}