{"id":"W4416960868","doi":"10.1109/embc58623.2025.11254891","title":"Enhancing Automated Patient Detection and Tracking in Epilepsy Monitoring Unit Videos","year":2025,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Université de Montréal","funders":"","keywords":"Pipeline (software); Epilepsy; Set (abstract data type); Remote patient monitoring; Training set; Object detection; Precision and recall; Tracking (education)","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":[0.001048613,0.0008173839,0.0005246584,0.001059866,0.0001596651,0.0005956809,0.0005826181,0.0005621374,0.001009242],"category_scores_gemma":[0.005612506,0.0002214793,0.000411673,0.0004713621,0.0001474311,0.0005391185,0.0005837993,0.0004252138,0.0007230951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004579563,"about_ca_system_score_gemma":0.0006761618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007398341,"about_ca_topic_score_gemma":0.008506882,"domain_scores_codex":[0.999429,0.000151899,0.00003532959,0.0001685457,0.0001445158,0.00007054442],"domain_scores_gemma":[0.9988318,0.0006077936,0.0001189661,0.0001006959,0.000295532,0.00004527421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005681309,0.0002539574,0.01593129,0.0002605281,0.000106333,0.0003235008,0.0001414079,0.07626838,0.05899221,0.0005611105,0.005631287,0.8409619],"study_design_scores_gemma":[0.00002803017,0.0002369009,0.01567228,0.00003599619,0.00003668656,0.0002954167,0.00004540835,0.9453522,0.03439808,0.0007140936,0.003162158,0.00002287774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3498489,0.001551569,0.6345671,0.0005060867,0.0001848633,0.0003956139,0.001543023,0.008438126,0.002964649],"genre_scores_gemma":[0.7793511,0.000627582,0.2144437,0.0002120258,0.00008983012,0.0001615133,0.002721774,0.0001641961,0.00222835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007398341,"threshold_uncertainty_score":0.01471055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295931594784618,"score_gpt":0.2944832584380728,"score_spread":0.2715239424902267,"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."}}