{"id":"W4388466463","doi":"10.1177/20438087231204168","title":"ADHD and anxiety symptom comorbidity from an event segmentation lens","year":2023,"lang":"en","type":"article","venue":"Journal of Experimental Psychopathology","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Anxiety; Comorbidity; Psychology; Segmentation; Cognition; Clinical psychology; Perception; Event (particle physics); Psychiatry; Artificial intelligence; 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":[0.0002788584,0.0001354433,0.0003174911,0.0001765306,0.00006510074,0.00001731529,0.00006522763,0.00009883954,0.0003002145],"category_scores_gemma":[0.00002935208,0.0001219029,0.0001108722,0.0001474147,0.00008725218,0.000342787,0.00003608862,0.0002398449,0.00005269293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006728408,"about_ca_system_score_gemma":0.00003156587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001623182,"about_ca_topic_score_gemma":0.000003091472,"domain_scores_codex":[0.9988129,0.0001388159,0.0003953462,0.0002174433,0.0002636646,0.0001718263],"domain_scores_gemma":[0.9992986,0.00004290032,0.0002632455,0.0001788008,0.00007867396,0.0001377559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005288218,0.000889618,0.09071182,0.000008258688,0.00007279023,0.0002475622,0.003214236,0.00001363793,0.8977647,0.00002387142,0.003159825,0.003364789],"study_design_scores_gemma":[0.01284189,0.00437732,0.8591332,0.000144799,0.0002641365,0.006381046,0.05082757,0.0008911413,0.05680857,0.0003971944,0.007482409,0.000450685],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956551,0.0006357879,0.0002661409,0.001797261,0.001251792,0.0001631718,0.00001421202,0.00003612188,0.0001804332],"genre_scores_gemma":[0.9976155,0.0003972205,0.0007191147,0.0006967703,0.0003654232,0.000006393403,0.00004537383,0.00002274209,0.0001314716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8409562,"threshold_uncertainty_score":0.4971057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0661154475517873,"score_gpt":0.4126783764800589,"score_spread":0.3465629289282716,"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."}}