{"id":"W4404020793","doi":"10.2139/ssrn.4993392","title":"Discriminative Properties of Rewarding Electrical Brain Stimulation","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Discriminative model; Deep brain stimulation; Stimulation; Neuroscience; Brain stimulation; Electrical brain stimulation; Psychology; Medicine; Artificial intelligence; Computer science; Internal medicine; Parkinson's disease","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":[0.0004358223,0.000328583,0.0004336499,0.0001924736,0.000125472,0.000416247,0.000250665,0.0003220491,0.005233851],"category_scores_gemma":[0.004112157,0.0001537046,0.000140206,0.0002068818,0.0002806152,0.0002871754,0.0003983856,0.0004554704,0.0002671357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187419,"about_ca_system_score_gemma":0.0001723239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001219751,"about_ca_topic_score_gemma":0.000171089,"domain_scores_codex":[0.9997851,0.0000568334,0.00001892833,0.00003050649,0.00007158809,0.00003693779],"domain_scores_gemma":[0.9985169,0.0009073153,0.0001698369,0.0001204016,0.00008285291,0.000202733],"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":[0.0049351,0.0002061472,0.00426841,0.0002999044,0.00005294228,0.0001056854,0.00007576006,0.001453351,0.9544675,0.002247808,0.0003019414,0.03158532],"study_design_scores_gemma":[0.0007114282,0.006845358,0.5585261,0.0001601409,0.0003944987,0.004161544,0.0002414776,0.07046324,0.3370451,0.01793294,0.003413781,0.0001044222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836623,0.0004362762,0.007523993,0.0001501446,0.000080431,0.00004799004,0.0003194831,0.0001188134,0.007660542],"genre_scores_gemma":[0.9983,0.0001187916,0.00071064,0.00005586805,0.00003917889,0.00001141281,0.00009509188,0.000053341,0.000615777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005233851,"threshold_uncertainty_score":0.01750898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03813584015087625,"score_gpt":0.2973047671142782,"score_spread":0.2591689269634019,"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."}}