{"id":"W4289889770","doi":"10.1002/jbio.202200076","title":"Monitoring stimulus‐evoked hemodynamic response during deep brain stimulation with single fiber spectroscopy","year":2022,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hemodynamics; Stimulation; Haemodynamic response; Deep brain stimulation; Stimulus (psychology); Blood volume; Respiratory rate; Biomedical engineering; Medicine; Heart rate; Anesthesia; Internal medicine; Psychology; Blood pressure","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0006833719,0.0001790391,0.0003830425,0.0003204449,0.0002203208,0.00004893825,0.000143746,0.00005253847,0.0001747757],"category_scores_gemma":[0.0001921219,0.0001515013,0.0001374903,0.0003741992,0.00006227944,0.0001447007,0.00007046819,0.0007569881,0.000003322916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009577831,"about_ca_system_score_gemma":0.0001937869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000604656,"about_ca_topic_score_gemma":6.069134e-7,"domain_scores_codex":[0.9982529,0.0001242469,0.0004563703,0.0001944247,0.0006536721,0.0003184442],"domain_scores_gemma":[0.9989067,0.0001837216,0.0003205204,0.0002636946,0.00015384,0.0001715096],"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":[0.008702164,0.0003614072,0.003759054,0.00003468651,0.00006787969,0.0005702604,0.000275451,0.001996607,0.9839254,0.00000488353,0.00003887464,0.0002633566],"study_design_scores_gemma":[0.004406061,0.008600096,0.03816115,0.0003799198,0.0002305386,0.003615568,0.0005821966,0.01858037,0.9237427,0.0001868644,0.001161043,0.0003534561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960648,0.0004193014,0.00136374,0.001377455,0.0001828933,0.0002135985,0.000003307068,0.0000832372,0.0002916205],"genre_scores_gemma":[0.9391443,0.00002877546,0.0599395,0.00009327774,0.0001158221,0.000006489891,0.000001802852,0.00004567921,0.000624397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06018264,"threshold_uncertainty_score":0.6178042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009398845156893335,"score_gpt":0.2818517800075476,"score_spread":0.2724529348506543,"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."}}