{"id":"W4298059680","doi":"","title":"A new powerful tool to decipher retroviral vector silencing mechanisms in pluripotent cells","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"DECIPHER; Induced pluripotent stem cell; Gene silencing; Computational biology; Biology; Vector (molecular biology); Computer science; Cell biology; Genetics; Embryonic stem cell; Gene","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":[0.0007978338,0.0007849169,0.0009458015,0.001398667,0.0005170031,0.00138533,0.0008631126,0.001107162,0.003983902],"category_scores_gemma":[0.0006951808,0.000672924,0.0007780537,0.0005859865,0.0006204099,0.001337454,0.001046806,0.002707355,0.001995643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004143118,"about_ca_system_score_gemma":0.0003518479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003019944,"about_ca_topic_score_gemma":0.0006094478,"domain_scores_codex":[0.9994532,0.00007910081,0.0000580507,0.0001461679,0.0002114021,0.00005209072],"domain_scores_gemma":[0.9993967,0.0002775538,0.00008453431,0.000145704,0.00003697256,0.00005850659],"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":[0.000040801,0.00001098556,0.00008592041,0.00007819764,0.00001113725,0.00009127472,0.00003310825,0.0001123314,0.9904398,0.001488573,0.0002261921,0.007381685],"study_design_scores_gemma":[0.00002280834,0.00007014062,0.0006267472,0.0000166322,0.00003384338,0.0006033606,0.00001771477,0.002108667,0.9810818,0.001310727,0.0140854,0.00002211208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1301112,0.005589967,0.8453589,0.0008129972,0.0004334344,0.0002877325,0.003536961,0.005412577,0.008456156],"genre_scores_gemma":[0.4423482,0.00842237,0.5137949,0.0008166254,0.0001769662,0.0009832376,0.007302553,0.002741933,0.02341317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003983902,"threshold_uncertainty_score":0.01332754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007709181552114338,"score_gpt":0.2327807192708197,"score_spread":0.2250715377187054,"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."}}