{"id":"W4362523794","doi":"10.1111/epi.17605","title":"Automatic video analysis and classification of sleep‐related hypermotor seizures and disorders of arousal","year":2023,"lang":"en","type":"article","venue":"Epilepsia","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sleep & Circadian Network; Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Ministero della Salute; European Commission","keywords":"Epilepsy; Wearable computer; Computer science; Artificial intelligence; Physical medicine and rehabilitation; Motion (physics); Convolutional neural network; Set (abstract data type); Psychology; Neuroscience; Medicine","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":[0.0003916337,0.0007896172,0.0003027649,0.000895291,0.0001496371,0.000380716,0.0004531589,0.0005948739,0.00110108],"category_scores_gemma":[0.001165305,0.0001364028,0.0004115708,0.0002684475,0.0001160164,0.0002322141,0.0003211428,0.0003733464,0.0005301981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003580125,"about_ca_system_score_gemma":0.0005491488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005173051,"about_ca_topic_score_gemma":0.005540044,"domain_scores_codex":[0.9998099,0.00002519294,0.00001247107,0.00005891732,0.00004677267,0.00004674855],"domain_scores_gemma":[0.9996566,0.00009560417,0.00004700036,0.00002244824,0.0001421953,0.00003631415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001099814,0.0004692543,0.02193772,0.0003367387,0.0001751363,0.0007465871,0.0001067213,0.02486434,0.1404522,0.0004386095,0.006744768,0.8026282],"study_design_scores_gemma":[0.00005110328,0.0004287363,0.04094037,0.00007751689,0.00009532084,0.0005822522,0.00008278807,0.8858704,0.06836244,0.0006176258,0.002861444,0.00003000702],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6888402,0.003423117,0.2923433,0.000691694,0.000431724,0.0005122387,0.003005181,0.005982857,0.004769704],"genre_scores_gemma":[0.9212847,0.0007600308,0.07121333,0.0001546221,0.00008204732,0.0001063098,0.002879837,0.00005456432,0.003464514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005173051,"threshold_uncertainty_score":0.01028591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867574803141279,"score_gpt":0.2676547422420616,"score_spread":0.2489789942106488,"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."}}