{"id":"W3215712506","doi":"10.1016/j.brs.2021.10.452","title":"Predicting seizure response to VNS through connectomic profiling","year":2021,"lang":"en","type":"article","venue":"Brain stimulation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Profiling (computer programming); Medicine; Psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003539299,0.0001321333,0.0001392025,0.00006316017,0.0001966078,0.0001263885,0.0001500512,0.0000680325,0.00005842985],"category_scores_gemma":[0.004306075,0.000133068,0.00005011382,0.0004106472,0.00002592578,0.0002815443,0.0001199635,0.0001399557,0.00008482742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005437483,"about_ca_system_score_gemma":0.00008592839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000623117,"about_ca_topic_score_gemma":0.000005284274,"domain_scores_codex":[0.9983405,0.0004038595,0.0002493475,0.0005057033,0.0002470808,0.000253433],"domain_scores_gemma":[0.9974677,0.002057249,0.00007231068,0.0002624277,0.00007535282,0.0000649699],"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":[0.0002294499,0.00003176297,0.001871163,0.00001389479,0.000003474884,0.00004276898,0.00190886,0.03671903,0.9567109,0.0007368882,0.0007475562,0.0009842224],"study_design_scores_gemma":[0.0005721375,0.0001158262,0.005655231,0.00008388342,0.000005577594,0.00005478216,0.000182399,0.1110809,0.8768523,0.0007762151,0.004427487,0.0001932479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715027,0.00002024904,0.02185008,0.004780427,0.0004367346,0.0002927183,0.0000178446,0.0002233366,0.0008759654],"genre_scores_gemma":[0.9893234,6.885431e-7,0.005316763,0.004075601,0.000182383,0.00001174883,0.000008520358,0.00002118708,0.001059668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07985864,"threshold_uncertainty_score":0.5426356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04774637259227133,"score_gpt":0.3264319399359623,"score_spread":0.2786855673436909,"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."}}