{"id":"W2952316777","doi":"10.3389/fpsyt.2018.00336","title":"Machine Learning Based Classification of Deep Brain Stimulation Outcomes in a Rat Model of Binge Eating Using Ventral Striatal Oscillations","year":2018,"lang":"en","type":"article","venue":"Frontiers in Psychiatry","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Center for Advancing Translational Sciences; National Institutes of Health; Dartmouth College; National Institute of Diabetes and Digestive and Kidney Diseases; Audrey and Theodor Geisel School of Medicine at Dartmouth; Hitchcock Foundation","keywords":"Deep brain stimulation; Stimulation; Nucleus accumbens; Neuromodulation; Brain stimulation; Neuroscience; Local field potential; Psychology; Brain stimulation reward; Psychological intervention; Endophenotype; Medicine; Psychiatry; Dopamine; Internal medicine; Cognition","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":[0.0005691213,0.0004330905,0.000466654,0.0002529694,0.00007519828,0.0002122459,0.0002045311,0.0002647722,0.0004785725],"category_scores_gemma":[0.0009219772,0.0001312319,0.0003350983,0.0001369001,0.0003042572,0.0001381265,0.0002181256,0.0006468731,0.00005955846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002965502,"about_ca_system_score_gemma":0.0003004061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001627836,"about_ca_topic_score_gemma":0.002710576,"domain_scores_codex":[0.9998662,0.00003124033,0.00000986138,0.00003884368,0.00003129866,0.00002242],"domain_scores_gemma":[0.999711,0.00009423622,0.0001052938,0.00002854495,0.00003326773,0.00002765674],"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":[0.007010318,0.00211796,0.02455891,0.0005396109,0.0006345238,0.0001833521,0.0001810197,0.09781265,0.6713368,0.0009141779,0.0009601251,0.1937505],"study_design_scores_gemma":[0.0003357047,0.01620736,0.1107523,0.00006259939,0.0005990639,0.0002421492,0.0001671643,0.6284501,0.2393089,0.002731272,0.001015568,0.0001277378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675918,0.0001515987,0.03113086,0.0001590158,0.00003407516,0.00009560242,0.0003509568,0.0001759359,0.0003101962],"genre_scores_gemma":[0.9763539,0.0002420914,0.02182757,0.00007060696,0.000009415411,0.0002144211,0.0003432909,0.00002298148,0.0009157499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001627836,"threshold_uncertainty_score":0.003236771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03284222258683136,"score_gpt":0.3036958729893288,"score_spread":0.2708536504024974,"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."}}