{"id":"W4232542154","doi":"10.1093/neuonc/noaa087","title":"Erratum to ‘Connexin43 peptide, TAT-Cx43266–283, selectively targets glioma cells, impairs malignant growth, and enhances survival in mouse models in vivo’","year":2020,"lang":"en","type":"erratum","venue":"Neuro-Oncology","topic":"Connexins and lens biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Junta de Castilla y León; Ministerio de Economía y Competitividad; Fundación Ramón Areces","keywords":"In vivo; Glioma; Cancer research; Peptide; Biology; Chemistry; Cell biology; Biochemistry; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003189916,0.002122493,0.001852811,0.00348459,0.003253442,0.0028998,0.002900226,0.009267111,0.0235732],"category_scores_gemma":[0.01657531,0.001602164,0.002029232,0.001259568,0.001752018,0.001604063,0.001191961,0.009082994,0.02010921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00423379,"about_ca_system_score_gemma":0.00447131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0154554,"about_ca_topic_score_gemma":0.02690124,"domain_scores_codex":[0.9970019,0.0003272717,0.0006034813,0.0003286269,0.001493072,0.0002456028],"domain_scores_gemma":[0.9889986,0.003268537,0.0009389729,0.0005653405,0.005296505,0.0009319866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005367823,0.00001541113,0.00004686955,0.0000618553,0.000009253751,0.0002939222,0.000008316506,0.00003748788,0.0002149005,0.0002644666,0.9957834,0.003210468],"study_design_scores_gemma":[0.00005669176,0.00005642832,0.0007772121,0.0001446592,0.00004496495,0.0006398184,0.00003185168,0.0002231007,0.001069946,0.000527261,0.9963912,0.00003686935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002286883,0.0018326,0.0005461402,0.05594874,0.9356004,0.00003519466,0.0005282465,0.000272932,0.005007036],"genre_scores_gemma":[0.007373767,0.01391292,0.005637175,0.2253107,0.3643072,0.000237376,0.00365212,0.001188183,0.3783805],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0235732,"threshold_uncertainty_score":0.07886016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334079227149655,"score_gpt":0.2509124046445097,"score_spread":0.2375716123730132,"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."}}