{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001576781,0.00008905048,0.0002324825,0.0002865263,0.00004719551,0.00001882391,0.0001163628,0.00005010335,0.00002831806],"category_scores_gemma":[0.0001715686,0.00007645312,0.00005298156,0.0008756939,0.0001859988,0.00009129266,0.00006074802,0.00006344634,0.000008228409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000484787,"about_ca_system_score_gemma":0.000007938582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002666271,"about_ca_topic_score_gemma":0.00001167239,"domain_scores_codex":[0.9990932,0.00009684421,0.0002812613,0.0002552213,0.0001519473,0.0001215427],"domain_scores_gemma":[0.9992342,0.0003831319,0.0001513529,0.0001753386,0.00001620065,0.00003976772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002732543,0.0001139113,0.1347054,0.0002152389,0.0002065687,0.000006881231,0.003109624,0.0003783168,0.8167623,0.002580415,0.000874902,0.04101915],"study_design_scores_gemma":[0.0002204784,0.00008264412,0.6816993,0.00002051638,0.00009966325,0.000004132439,0.0001000039,0.2931677,0.02367565,0.0007535449,0.00009247997,0.00008377661],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987105,0.00004778724,0.0003028211,0.0003786632,0.00007387532,0.0001151194,0.00001578626,0.0000826863,0.0002727897],"genre_scores_gemma":[0.9995639,0.00006818771,0.0002072818,0.00003014082,0.000006964723,0.0000057786,0.000004326856,0.000007839421,0.0001055585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7930866,"threshold_uncertainty_score":0.3117668,"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."}}