{"id":"W4323041974","doi":"10.18280/mmep.100110","title":"Ensemble Machine Learning Based Identification of Adult Epilepsy","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epilepsy; Identification (biology); Ensemble learning; Machine learning; Artificial intelligence; Computer science; Psychology; Neuroscience; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002511663,0.0001132577,0.0001696098,0.0001191383,0.00005764049,0.00004789449,0.0001103007,0.00004652759,0.00000635198],"category_scores_gemma":[0.0002032879,0.00009906812,0.00003990474,0.0002316119,0.00002684771,0.00006432783,0.00003525399,0.0001510204,0.00003863113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005898258,"about_ca_system_score_gemma":0.000004321005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003359146,"about_ca_topic_score_gemma":8.111395e-8,"domain_scores_codex":[0.9990695,0.00002149993,0.0003182271,0.0002271571,0.0001648411,0.0001988479],"domain_scores_gemma":[0.9993721,0.0003586693,0.00006087965,0.0001281913,0.00002653007,0.00005360609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002117179,0.00002107916,0.00001038156,0.0005104134,0.000002426756,0.000001176626,0.000360955,0.8554872,0.1386574,0.004661872,0.000005979285,0.0002790267],"study_design_scores_gemma":[0.00009979471,0.00003003118,0.000003310684,0.0001669001,0.000005039597,0.000003986767,0.000007142894,0.8456043,0.1496739,0.004265575,0.00005116182,0.00008888126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3440975,0.00001714979,0.6553203,0.00009592926,0.00004692173,0.00008895033,0.000002475391,0.0002429614,0.00008779867],"genre_scores_gemma":[0.9949318,0.0000278878,0.004719063,0.00001507193,0.00001555463,0.00001848265,0.000002778628,0.00002211274,0.0002472596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6508343,"threshold_uncertainty_score":0.4039881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03318811651424976,"score_gpt":0.2365695645883045,"score_spread":0.2033814480740548,"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."}}