{"id":"W4312141009","doi":"10.1016/j.ridd.2022.104402","title":"Distinctive patterns of Multiple Object-Tracking performance trajectories in youth with deficits in attention, learning, and intelligence","year":2022,"lang":"en","type":"article","venue":"Research in Developmental Disabilities","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; McGill University","keywords":"Psychology; Cognition; Cognitive psychology; Task (project management); Developmental psychology; Object (grammar); Intelligence quotient; 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":[0.0005138441,0.0004104314,0.0004106029,0.00134491,0.0002874188,0.0008130214,0.0002915321,0.0004530306,0.0006587188],"category_scores_gemma":[0.002734416,0.0002137644,0.0003947477,0.0008585018,0.0003505188,0.0004478225,0.0008034651,0.0005735059,0.000242604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005178154,"about_ca_system_score_gemma":0.0004354298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01583868,"about_ca_topic_score_gemma":0.01674452,"domain_scores_codex":[0.9996599,0.00004241166,0.00003755702,0.00009655255,0.00007848963,0.00008509932],"domain_scores_gemma":[0.9986843,0.0002079111,0.000583347,0.0000780558,0.0002206776,0.0002256172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000124636,0.00005445225,0.9941117,0.000008319395,0.00001782864,0.0001314804,0.0004810252,0.0001224956,0.001092252,0.00002977691,0.00006265276,0.003763303],"study_design_scores_gemma":[8.845699e-7,0.00005491765,0.9993131,0.000002992998,0.000004099254,0.0001152423,0.0001932556,0.0001274774,0.0001301184,0.00001567526,0.00004042556,0.000001879007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999551,0.00004787913,0.00005603363,0.00001118084,9.758049e-7,0.000003649913,0.0001649959,0.000007312573,0.0001568936],"genre_scores_gemma":[0.9990804,0.00005838275,0.0001178466,0.000005696549,0.00000117679,0.00000738969,0.0005438555,0.000004616436,0.0001805564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01583868,"threshold_uncertainty_score":0.03149301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1124824148896708,"score_gpt":0.3569142102124056,"score_spread":0.2444317953227348,"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."}}