{"id":"W4388589481","doi":"10.1093/neuonc/noad179.0105","title":"CNSC-21. INVESTIGATING THE EVOLUTION OF NEURON-GLIOMA CIRCUIT DYNAMICS USING AN IN VIVO IMAGING METHOD","year":2023,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Glioma; Neuroscience; Neuron; Biological neural network; Calcium imaging; Premovement neuronal activity; Biology; Synaptogenesis; In vivo; Calcium; Medicine; Cancer research; Internal medicine","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":[0.000278028,0.0004380247,0.0002432913,0.0004800238,0.0002883968,0.0003416536,0.0004685875,0.0006070336,0.00201207],"category_scores_gemma":[0.0002280281,0.0002278231,0.00025154,0.0003497672,0.0002600257,0.0002874366,0.0002714293,0.0005055681,0.0005254078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006189939,"about_ca_system_score_gemma":0.0004827381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0038832,"about_ca_topic_score_gemma":0.006588152,"domain_scores_codex":[0.999867,0.00001210822,0.000007240124,0.00005003071,0.00004128929,0.00002237571],"domain_scores_gemma":[0.9998091,0.00002615435,0.00005189379,0.00002045316,0.00005669034,0.0000357461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003009876,0.00001450441,0.0003350053,0.00003569343,0.000004179084,0.00004839801,0.00001952821,0.0001656086,0.9963755,0.0001831965,0.000142566,0.00264574],"study_design_scores_gemma":[0.00001641576,0.0001740517,0.009085019,0.00001332023,0.00003015669,0.0004291359,0.00003886565,0.01522725,0.9687921,0.000146251,0.006027839,0.00001968813],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8602008,0.002108918,0.123133,0.0003167386,0.0001927259,0.0002502619,0.002268021,0.001113934,0.01041559],"genre_scores_gemma":[0.7848331,0.001596018,0.1980766,0.0002480571,0.00003408546,0.0007716863,0.002063722,0.0003273048,0.0120493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0038832,"threshold_uncertainty_score":0.007721245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0497082504688876,"score_gpt":0.3465323853873724,"score_spread":0.2968241349184848,"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."}}