{"id":"W4308977947","doi":"10.1093/neuonc/noac209.109","title":"CNSC-28. IDENTIFICATION OF EAG2-KVß2 POTASSIUM CHANNEL COMPLEX IN NEURON-GBM COMMUNICATIONS REVEALS GBM VULNERABILITY TO DESIGNER INTERFERENCE PEPTIDE","year":2022,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Cancer research; Cell growth; RNA interference; Biology; Potassium channel; Regulator; Cell; Neuroscience; Cell biology; Endocrinology; Gene; RNA; 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":[0.0001172329,0.0002759447,0.0002667028,0.0001887901,0.0002348282,0.0002013707,0.0002941949,0.0002826707,0.002584609],"category_scores_gemma":[0.0001225705,0.0001222846,0.0002664416,0.0001626587,0.0001846717,0.00009616365,0.0001589909,0.0004406403,0.0008315361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004749158,"about_ca_system_score_gemma":0.0002831319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002236924,"about_ca_topic_score_gemma":0.002999373,"domain_scores_codex":[0.9998407,0.00001475389,0.00001402217,0.00004102273,0.00005150283,0.00003792029],"domain_scores_gemma":[0.9999231,0.00001012481,0.00001611365,0.0000107264,0.00001716129,0.00002282776],"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":[0.00006938849,0.0000200867,0.0001007092,0.00001711566,0.000004547434,0.00003772709,0.000005859521,0.00005053577,0.9989181,0.00006881857,0.0001113881,0.0005958588],"study_design_scores_gemma":[0.00003040293,0.0002173067,0.003668339,0.000006648305,0.00001761223,0.000336003,0.00001900849,0.001671753,0.9890698,0.00005475988,0.004902586,0.000005794476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873447,0.00094453,0.004973836,0.0001585616,0.00008090134,0.00009645444,0.002654151,0.0001475416,0.003599365],"genre_scores_gemma":[0.9802654,0.0005726041,0.00530031,0.000188735,0.000008011568,0.0001142868,0.007401276,0.00007723067,0.006072016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002584609,"threshold_uncertainty_score":0.008646369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0529737668924662,"score_gpt":0.3268366967571009,"score_spread":0.2738629298646347,"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."}}