{"id":"W2019622320","doi":"10.1080/17518420902936722","title":"Screening for motor deficits using the Pediatric Evaluation of Disability Inventory (PEDI) in children with language impairment","year":2009,"lang":"en","type":"article","venue":"Developmental Neurorehabilitation","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Rehabilitation; Jewish Rehabilitation Hospital","funders":"","keywords":"Gross motor skill; Motor impairment; Motor skill; Psychology; Audiology; Motor dysfunction; Physical medicine and rehabilitation; Physical therapy; Medicine; Developmental psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001156991,0.0004634678,0.000438593,0.0008075721,0.0002292519,0.0003674061,0.0003153681,0.0003253096,0.001156594],"category_scores_gemma":[0.005586724,0.0001878062,0.0002109464,0.0004983561,0.0002909129,0.0004385267,0.0005224962,0.0005367338,0.0002755031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003382541,"about_ca_system_score_gemma":0.0005338786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003743894,"about_ca_topic_score_gemma":0.00609102,"domain_scores_codex":[0.9993192,0.0001933487,0.00007988675,0.00007763415,0.000204436,0.0001255227],"domain_scores_gemma":[0.9981843,0.0004008388,0.0008718651,0.00003986407,0.0002592032,0.0002439871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006165933,0.0000459851,0.9962277,0.0000189673,0.00001006836,0.0001064334,0.00008401487,0.00003444423,0.0002288673,0.000005105544,0.000128485,0.003048339],"study_design_scores_gemma":[0.000005519388,0.0002049303,0.9986363,0.00001096235,0.000008102652,0.0006113323,0.0001061302,0.0001096377,0.0002014221,0.000005923359,0.00009766086,0.000002029041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992687,0.0001407403,0.00009190464,0.00003556314,0.000003222446,0.00001676382,0.000160616,0.00000526268,0.0002772071],"genre_scores_gemma":[0.9987608,0.0001821858,0.0004433125,0.00002347517,0.000005712748,0.00004780266,0.0003727211,0.000002058422,0.0001619305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003743894,"threshold_uncertainty_score":0.007444203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872802931612482,"score_gpt":0.3050868406309932,"score_spread":0.2763588113148683,"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."}}