{"id":"W2892337052","doi":"10.1177/1087054718799929","title":"Event Segmentation Deficits in ADHD","year":2018,"lang":"en","type":"article","venue":"Journal of Attention Disorders","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Segmentation; Psychology; Neurocognitive; Cognitive psychology; Context (archaeology); Cognition; Event-related potential; Event (particle physics); Perception; Developmental psychology; Artificial intelligence; Neuroscience; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003400014,0.0002836375,0.0003636332,0.001352136,0.0005484672,0.0006908071,0.0002570052,0.0003615168,0.003022913],"category_scores_gemma":[0.003164932,0.000156924,0.0001362659,0.0006204738,0.0004094078,0.0004736829,0.0004857335,0.0003537985,0.00010852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006588509,"about_ca_system_score_gemma":0.0003553648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01741664,"about_ca_topic_score_gemma":0.02627891,"domain_scores_codex":[0.9998136,0.00002212992,0.00003164649,0.00003756404,0.00006193441,0.00003308427],"domain_scores_gemma":[0.9989374,0.0002822377,0.0004909048,0.00003795706,0.0001147218,0.0001368614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004594424,0.0002418962,0.9466301,0.0001952287,0.00006074445,0.001153839,0.002524653,0.0002060048,0.004214151,0.0003251911,0.0006926456,0.04329613],"study_design_scores_gemma":[0.000008249376,0.00007363795,0.9969575,0.00002937637,0.00003180368,0.001362094,0.0006455908,0.0001231867,0.0003360886,0.0002094841,0.0002184784,0.000004509284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985525,0.0003396289,0.00005665755,0.00004665455,0.000004721046,0.00001299801,0.0001082222,0.000006057441,0.0008724987],"genre_scores_gemma":[0.9991484,0.000260741,0.0001561226,0.00002076075,0.00000479277,0.000009769933,0.0001593871,0.000002085044,0.0002380144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01741664,"threshold_uncertainty_score":0.03463048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03091045548626603,"score_gpt":0.3469920108263727,"score_spread":0.3160815553401066,"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."}}