{"id":"W4390455345","doi":"10.1016/j.yebeh.2023.109588","title":"Touch-screen automatisms in the digital age","year":2023,"lang":"en","type":"article","venue":"Epilepsy & Behavior","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Automatism (medicine); Epilepsy; Psychology; Medicine; Psychiatry; Neuroscience","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002403808,0.0001735388,0.0002636659,0.0002087615,0.00008788968,0.0001096169,0.0002158363,0.0000827484,0.0003325056],"category_scores_gemma":[0.0001215448,0.0001106681,0.0001471651,0.0006837614,0.0000992429,0.0001072264,0.00007714394,0.00030738,0.001971607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009351912,"about_ca_system_score_gemma":0.00008417097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000176077,"about_ca_topic_score_gemma":0.0000958465,"domain_scores_codex":[0.9981499,0.00005855037,0.000270112,0.0002926733,0.0005955731,0.0006331527],"domain_scores_gemma":[0.9990387,0.0001512915,0.0000340954,0.0005378148,0.00002736865,0.0002107462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005988578,0.0007178294,0.8709019,0.00001342052,0.00002711379,0.009140151,0.0006635172,6.441496e-7,0.0004694391,0.0002920785,0.01360453,0.1041095],"study_design_scores_gemma":[0.001350327,0.0005032648,0.9889628,0.00005433578,0.00005693355,0.00008875039,0.0003894288,0.0000291469,0.0001985215,0.00007176873,0.008185219,0.0001094489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827062,0.00006143386,0.000003534398,0.001744589,0.00008433877,0.001044743,0.00008650428,0.0002448535,0.01402381],"genre_scores_gemma":[0.9938142,0.00005346798,0.0001272887,0.0002183151,0.000121236,0.0004902991,0.0004421821,0.00003008208,0.004702905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1180609,"threshold_uncertainty_score":0.9988055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04166153571931586,"score_gpt":0.3385281454712714,"score_spread":0.2968666097519555,"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."}}