{"id":"W4280605027","doi":"10.7554/elife.72929","title":"Lead-OR: A multimodal platform for deep brain stimulation surgery","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; University of Toronto; University Health Network","funders":"National Institutes of Health; Deutsches Zentrum für Luft- und Raumfahrt; Bundesministerium für Bildung und Forschung; National Institute of Mental Health; Deutsche Forschungsgemeinschaft","keywords":"Deep brain stimulation; Microelectrode; Neuroscience; Neuroprosthetics; Neuroimaging; Neurophysiology; Multielectrode array; Local field potential; Electrophysiology; Stimulation; Biomedical engineering; Medicine; Psychology; Electrode; Parkinson's disease; Chemistry; Pathology","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":[0.001233331,0.001352551,0.0005284227,0.001182739,0.0001847458,0.001162486,0.00121065,0.000626084,0.0225837],"category_scores_gemma":[0.00407716,0.000434975,0.000894605,0.0004443486,0.0004261441,0.001160805,0.00316039,0.0008344373,0.005494541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002703304,"about_ca_system_score_gemma":0.0006244393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005018275,"about_ca_topic_score_gemma":0.0006588575,"domain_scores_codex":[0.9993498,0.0001564918,0.0000697681,0.000136246,0.0002290581,0.00005854046],"domain_scores_gemma":[0.9985934,0.0006944527,0.0001232073,0.0002796813,0.0001420014,0.0001672674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005000655,0.0002631097,0.01038577,0.001401489,0.0005575833,0.002725167,0.001352387,0.02336147,0.05714984,0.01181586,0.09539851,0.790588],"study_design_scores_gemma":[0.001731001,0.00150188,0.02363919,0.0009366447,0.0007497896,0.008834509,0.0004621466,0.3599986,0.1573021,0.07648461,0.3675604,0.0007991417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02441665,0.0008348825,0.7691267,0.0005085187,0.0003009693,0.0004082938,0.005158181,0.1931251,0.006120773],"genre_scores_gemma":[0.4347999,0.001522156,0.4971974,0.001014345,0.0002860917,0.001838277,0.01371375,0.03675343,0.01287459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0225837,"threshold_uncertainty_score":0.07554996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06141763793764052,"score_gpt":0.3174554588621329,"score_spread":0.2560378209244923,"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."}}