{"id":"W2895850465","doi":"10.1109/iceca.2018.8474880","title":"Development of Clinical Detection System for Tonic-Clonic Seizures using New Wearable Sensors","year":2018,"lang":"en","type":"article","venue":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences; Mohawk College","funders":"","keywords":"Computer science; Wearable computer; Accelerometer; Software; Real-time computing; Body area network; Bluetooth; Graphical user interface; Embedded system; MATLAB; Computer hardware; Python (programming language); Wireless sensor network; Wireless; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0004869992,0.0004867161,0.0004572399,0.0004524122,0.0001414931,0.0003551634,0.0006449985,0.0003463503,0.001850798],"category_scores_gemma":[0.0007067595,0.0001982468,0.0002454727,0.0002077804,0.0001277352,0.000541528,0.0004359066,0.0002315577,0.000683517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048035,"about_ca_system_score_gemma":0.0003439618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004207069,"about_ca_topic_score_gemma":0.0007793888,"domain_scores_codex":[0.9995099,0.00006243425,0.0000483852,0.0001075163,0.0002433226,0.00002846848],"domain_scores_gemma":[0.9996294,0.00005095489,0.00004431447,0.00003444769,0.0002106711,0.0000302095],"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":[0.0006139796,0.0002699325,0.01244465,0.0008786233,0.000108761,0.0009661143,0.0003378078,0.004083214,0.5714666,0.001404042,0.006289952,0.4011362],"study_design_scores_gemma":[0.0003531869,0.004967319,0.05492576,0.0002032395,0.0004042691,0.008805908,0.0003241984,0.1694379,0.6727212,0.001190398,0.08646946,0.0001972361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2227242,0.001904444,0.7554968,0.0006922471,0.0007726077,0.001317022,0.0006763705,0.00659009,0.00982626],"genre_scores_gemma":[0.6447213,0.001490361,0.3371533,0.0005061891,0.0001781603,0.001014262,0.000782881,0.0001564468,0.0139971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001850798,"threshold_uncertainty_score":0.006191492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09690166848529763,"score_gpt":0.3981302705762155,"score_spread":0.3012286020909179,"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."}}