{"id":"W2997049714","doi":"10.1093/neuonc/noz243","title":"Connexin43 peptide, TAT-Cx43266–283, selectively targets glioma cells, impairs malignant growth, and enhances survival in mouse models in vivo","year":2019,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Connexins and lens biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Junta de Castilla y León; Ministerio de Economía y Competitividad; Canada Research Chairs; Fundación Ramón Areces","keywords":"Glioma; SOX2; Cancer research; In vivo; Stem cell; Nestin; Biology; Cell culture; Pathology; Neural stem cell; Transcription factor; Medicine; Cell biology; Gene","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":[0.0004257391,0.0003591978,0.0006066425,0.0002434233,0.00005156759,0.00001958391,0.0002981609,0.0005295337,0.00007419455],"category_scores_gemma":[0.0001269035,0.0003452009,0.00009621181,0.0002338747,0.0001988795,0.0000189029,0.0002742585,0.0003384784,0.00001660939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006068091,"about_ca_system_score_gemma":0.0002886297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003810059,"about_ca_topic_score_gemma":0.002083279,"domain_scores_codex":[0.9971309,0.0005584662,0.0004991575,0.0009830706,0.0001162246,0.000712208],"domain_scores_gemma":[0.9990476,0.0001967981,0.0001727819,0.0003273476,0.0000883673,0.0001670437],"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":[0.0006496574,0.0002287041,0.007622611,0.00003428329,0.0000283985,0.0001339114,0.0002580586,0.0001621878,0.9894437,0.0006162812,0.0003607712,0.0004614958],"study_design_scores_gemma":[0.002781557,0.002875561,0.00128441,0.00001114868,0.00001138137,0.0001168996,0.0004413551,0.0007364938,0.9750725,0.0004333169,0.01576033,0.0004750204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941759,0.0007097411,0.00008433749,0.0003507414,0.000493923,0.0005435277,0.00005678268,0.00002324337,0.003561867],"genre_scores_gemma":[0.9975494,0.0009915922,0.0002263271,0.0007824063,0.0001293471,0.00006561825,0.0000293169,0.00004569682,0.000180363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01539956,"threshold_uncertainty_score":0.9999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00992218349736684,"score_gpt":0.2409914152566072,"score_spread":0.2310692317592404,"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."}}