{"id":"W2346552937","doi":"10.2196/rehab.4155","title":"Systemic Lisbon Battery: Normative Data for Memory and Attention Assessments","year":2016,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Spatial Neglect and Hemispheric Dysfunction","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Normative; Normality; Cognition; Psychology; Matching (statistics); Task (project management); Activities of daily living; Cognitive psychology; Ecological validity; Computer science; Medicine; Social psychology; Psychiatry; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001806631,0.0001305218,0.0001621225,0.00009380503,0.000174297,0.00005368906,0.0001643904,0.000101863,0.000007214943],"category_scores_gemma":[0.002054077,0.00008773834,0.00002276611,0.0001505204,0.0003419374,0.0005874399,0.000182887,0.00006334146,0.000005786258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006094115,"about_ca_system_score_gemma":0.00001631959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004142104,"about_ca_topic_score_gemma":0.000004038123,"domain_scores_codex":[0.9989466,0.00006591756,0.0002063011,0.0004967626,0.0001321902,0.0001521991],"domain_scores_gemma":[0.9982095,0.001218663,0.00015293,0.0003282485,0.0000680827,0.00002262106],"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":[0.0001496372,0.00007352925,0.01821579,0.0002056297,0.0000108218,6.06053e-7,0.0001288383,2.313701e-7,0.6107053,0.00198862,0.002569959,0.3659511],"study_design_scores_gemma":[0.008159486,0.004969687,0.819383,0.002130079,0.0001468655,0.00007053555,0.02233653,0.005057747,0.09668978,0.02498637,0.01451799,0.00155199],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584065,0.00008385215,0.03354069,0.005170061,0.0002012152,0.001380346,0.0001652031,0.0006565676,0.0003955762],"genre_scores_gemma":[0.9969556,0.00007180898,0.002196193,0.00005112416,0.00001748474,0.0004085897,0.00001235647,0.00001017116,0.0002766863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8011671,"threshold_uncertainty_score":0.3577866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03721339822670403,"score_gpt":0.3269049360546933,"score_spread":0.2896915378279893,"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."}}