{"id":"W2038051757","doi":"10.1093/arclin/acs027","title":"Computerized Neuropsychological Assessment Devices: Joint Position Paper of the American Academy of Clinical Neuropsychology and the National Academy of Neuropsychology","year":2012,"lang":"en","type":"article","venue":"Archives of Clinical Neuropsychology","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":270,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Center for Research Resources; National Academy of Neuropsychology; AstraZeneca Canada; American Academy of Clinical Neuropsychology; U.S. Department of Veterans Affairs","keywords":"Neuropsychology; Neuropsychological assessment; Psychology; Position paper; Reliability (semiconductor); Test (biology); Clinical neuropsychology; Medical education; Applied psychology; Computer science; Medicine; Psychiatry; Cognition; World Wide Web","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005839909,0.000459102,0.003065462,0.0003193418,0.0000963946,0.000007255129,0.001276768,0.0004161901,0.0001244052],"category_scores_gemma":[0.004134869,0.0002767993,0.001181495,0.0007425602,0.01518191,0.0001251995,0.0007136575,0.003264408,0.000009247326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000601864,"about_ca_system_score_gemma":0.000101011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008614048,"about_ca_topic_score_gemma":3.501154e-7,"domain_scores_codex":[0.9798421,0.01165657,0.005637364,0.00109384,0.001009975,0.0007601469],"domain_scores_gemma":[0.9790479,0.01580558,0.003812444,0.0007223695,0.0001816828,0.0004300065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03494573,0.01056573,0.6910548,0.0004715302,0.001277792,0.00002426473,0.0004696306,0.0000155818,0.1042039,0.04484429,0.002341571,0.1097852],"study_design_scores_gemma":[0.01106426,0.003401793,0.978897,0.0001027805,0.0002242943,0.0006102212,0.00002813357,0.0002567383,0.0001331312,0.003105703,0.001998464,0.0001775317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546131,0.0001068907,0.0003909564,0.0354848,0.0009164657,0.001226052,0.00006232323,0.00003469201,0.007164708],"genre_scores_gemma":[0.9634795,0.00095836,0.005142231,0.02971503,0.0005590798,0.00003531949,0.000006307735,0.00006516766,0.0000390214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2878422,"threshold_uncertainty_score":0.9999684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2623388013101368,"score_gpt":0.5377010522716236,"score_spread":0.2753622509614868,"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."}}