{"id":"W4404860740","doi":"10.18280/mmep.111123","title":"Exploring Diverse Approaches for Detecting and Diagnosing Attention Deficit Hyperactivity Disorder: A Comprehensive Survey","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Attention deficit hyperactivity disorder; Psychology; Attention deficit; Psychiatry; Clinical psychology; Data science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01057121,0.001772268,0.002390621,0.009918126,0.0006028291,0.002975323,0.003747309,0.001626385,0.001302911],"category_scores_gemma":[0.03410872,0.0007157602,0.002670497,0.005378651,0.001473789,0.00363746,0.001958192,0.001720328,0.0005319252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248566,"about_ca_system_score_gemma":0.003152967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009786574,"about_ca_topic_score_gemma":0.009914325,"domain_scores_codex":[0.9941929,0.001990275,0.0008633018,0.000901922,0.001879873,0.000171662],"domain_scores_gemma":[0.9676381,0.02504666,0.001805316,0.001175603,0.003923629,0.0004105553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001882517,0.0003440909,0.09996542,0.005378158,0.0006418612,0.0001788434,0.0004240306,0.007489744,0.001421561,0.003900302,0.003427626,0.87664],"study_design_scores_gemma":[0.0002185624,0.004038401,0.3625222,0.02818829,0.00643461,0.01133379,0.0119396,0.1492524,0.02055854,0.1381599,0.2664704,0.0008834051],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06720563,0.7654084,0.1441496,0.01160338,0.0003442534,0.0005010599,0.00206202,0.0005532231,0.008172449],"genre_scores_gemma":[0.2119976,0.6303034,0.1504417,0.002627013,0.0006551505,0.0002774538,0.002486279,0.0001439914,0.001067283],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01057121,"threshold_uncertainty_score":0.05590659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.254638135301018,"score_gpt":0.293255889736056,"score_spread":0.03861775443503807,"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."}}