{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004109344,0.0001248265,0.0002683834,0.0004555342,0.00005223336,0.00002047823,0.00007236342,0.00007666997,0.0005445423],"category_scores_gemma":[0.0001566174,0.0001131141,0.0002184613,0.0004097025,0.00007596169,0.0003745565,0.00001867519,0.0002396382,0.0001180597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273853,"about_ca_system_score_gemma":0.00009145885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001988413,"about_ca_topic_score_gemma":0.00009287908,"domain_scores_codex":[0.9984955,0.00007824808,0.0006265227,0.000144993,0.0004611828,0.0001936094],"domain_scores_gemma":[0.9989958,0.00003509395,0.000431763,0.0001331127,0.0003141176,0.00009005298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001067159,0.002574152,0.8582019,0.0001343363,0.0002482705,0.00005209893,0.001517557,0.0002348235,0.05002254,0.0002118603,0.003496862,0.08223847],"study_design_scores_gemma":[0.007302568,0.001471383,0.9719173,0.0003510268,0.0001916537,0.0003202112,0.01245316,0.0006399085,0.0003872188,0.0006619489,0.004072158,0.0002314923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878723,0.0002127654,0.006426431,0.003516191,0.0004814852,0.0002343009,0.000001161777,0.00001415549,0.001241228],"genre_scores_gemma":[0.9980776,0.0001347762,0.0008347633,0.0002189454,0.0001994205,0.000004140644,0.00000723022,0.00002053255,0.000502599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1137154,"threshold_uncertainty_score":0.5962356,"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."}}