{"id":"W4386026746","doi":"10.21203/rs.3.rs-3214404/v1","title":"Coupling between beta band and high frequency oscillations as a clinically useful biomarker for DBS","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Movement Disorders; Ste. Anne's Hospital","funders":"Central European Institute of Technology; Grantová Agentura České Republiky; Ministerstvo Školství, Mládeže a Tělovýchovy","keywords":"Coupling (piping); BETA (programming language); Biomarker; Physics; Frequency band; Medicine; Computer science; Materials science; Biology; Telecommunications; Genetics","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":[0.001219924,0.0007059315,0.0005633955,0.001247496,0.0002211689,0.001735025,0.0003180945,0.001036959,0.00545951],"category_scores_gemma":[0.005461333,0.000187837,0.0002851844,0.0006511249,0.0004124943,0.0007033756,0.0004384155,0.000629581,0.0008773208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698046,"about_ca_system_score_gemma":0.0002948888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003993321,"about_ca_topic_score_gemma":0.0004918001,"domain_scores_codex":[0.9995483,0.0001717213,0.00003496185,0.00008643292,0.0001244778,0.00003410521],"domain_scores_gemma":[0.9983163,0.001080175,0.0002216755,0.0001157742,0.0001730371,0.00009305631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007069926,0.0009822113,0.2196671,0.001436322,0.00120188,0.002317186,0.001206105,0.004090663,0.1703496,0.0115853,0.0125489,0.5675447],"study_design_scores_gemma":[0.0004434887,0.003413055,0.8492098,0.0005165875,0.00119979,0.007245646,0.001137593,0.02806819,0.0367598,0.05887675,0.0129842,0.0001450537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8991089,0.01761603,0.03981607,0.003802664,0.0009917337,0.0002235031,0.002109695,0.0004072371,0.03592412],"genre_scores_gemma":[0.9826853,0.002530883,0.009602307,0.0003822167,0.000458201,0.00007947348,0.0004798055,0.00007260343,0.003709191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00545951,"threshold_uncertainty_score":0.01826388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2705013341725196,"score_gpt":0.4835570637764663,"score_spread":0.2130557296039467,"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."}}