{"id":"W6921020770","doi":"10.6084/m9.figshare.26733370.v1","title":"Additional file 1 of Using neural biomarkers to personalize dosing of vagus nerve stimulation","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Vagus Nerve Stimulation Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Dosing; Vagus nerve stimulation; Vagus nerve; Neural activity; Peripheral nerve","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003379627,0.0001058052,0.0001247641,0.0002824042,0.00007290167,0.00005747404,0.0001759497,0.00005232175,0.9816132],"category_scores_gemma":[0.00769433,0.0001067062,0.0001103196,0.000902204,0.00002015034,0.0002348909,0.0001152039,0.0001033636,0.0006149247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006048459,"about_ca_system_score_gemma":0.0001485768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001293863,"about_ca_topic_score_gemma":0.000001689446,"domain_scores_codex":[0.9986253,0.00008881005,0.0002410535,0.0003092044,0.0005368696,0.0001987511],"domain_scores_gemma":[0.9964648,0.003074964,0.00007769626,0.0001512058,0.0001452894,0.00008605943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001991408,0.00001578608,0.000003350387,0.0001877378,0.000006219074,0.00001912458,0.00006826504,0.01020742,0.01992712,0.0000082386,0.9680123,0.0015245],"study_design_scores_gemma":[0.0001381006,0.0000780235,0.002502889,0.003518604,0.000006150399,0.00002337872,0.00002449764,0.8902111,0.01688124,0.00003368498,0.08640336,0.0001789605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003949424,0.00003286829,0.000005542117,0.00005029247,0.00003783009,0.0002238768,0.9947264,0.00005389819,0.0009198895],"genre_scores_gemma":[0.5744607,7.23797e-8,0.001013264,0.00008793233,0.00009625639,0.0001198043,0.4237853,0.00003334197,0.0004032485],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9809982,"threshold_uncertainty_score":0.9211388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1525191848026412,"score_gpt":0.3652011382783524,"score_spread":0.2126819534757112,"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."}}