{"id":"W4393948000","doi":"10.1017/cjn.2024.58","title":"Evaluation of Commercially Available Seizure Detection Wearables in Canada: Current Evidence","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données","keywords":"Wearable computer; Computer science; Internet privacy; Computer security; Business; Embedded system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.008955942,0.001034633,0.001616163,0.002595802,0.00145566,0.004358815,0.002235612,0.001442385,0.006532998],"category_scores_gemma":[0.03679767,0.0006591239,0.001634828,0.005717308,0.002520833,0.001388759,0.001191619,0.001313521,0.0006365675],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01898147,"about_ca_system_score_gemma":0.04699821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7969524,"about_ca_topic_score_gemma":0.8880084,"domain_scores_codex":[0.9905651,0.001617155,0.0009218541,0.00100441,0.005400832,0.0004907168],"domain_scores_gemma":[0.9333236,0.01823492,0.007330541,0.001048465,0.03860116,0.001461292],"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":[0.003618,0.0005236942,0.140725,0.04365959,0.00187968,0.0005332063,0.00194856,0.0008809449,0.002666234,0.003707617,0.02340682,0.7764506],"study_design_scores_gemma":[0.000974476,0.004452009,0.5371414,0.08626303,0.01058797,0.002693796,0.009736596,0.002714877,0.01197007,0.00213137,0.3308241,0.0005103521],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.149227,0.7471675,0.005963372,0.01823392,0.001130904,0.001171229,0.01242418,0.000261632,0.06442013],"genre_scores_gemma":[0.5630342,0.4055563,0.01459107,0.005734351,0.000357664,0.0004727243,0.004762413,0.0001068418,0.005384379],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9810185,"threshold_uncertainty_score":0.4084868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1245736907569386,"score_gpt":0.3227941060901621,"score_spread":0.1982204153332235,"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."}}