{"id":"W2474998532","doi":"10.3389/fpsyg.2016.00823","title":"Measuring the Performance of Attention Networks with the Dalhousie Computerized Attention Battery (DalCAB): Methodology and Reliability in Healthy Adults","year":2016,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"Atlantic Canada Opportunities Agency; Dalhousie University","keywords":"Psychology; Reliability (semiconductor); Battery (electricity); Attention network; Reliability engineering; Cognitive psychology; Applied psychology; Artificial intelligence; Computer science; Engineering; Power (physics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00152893,0.0001521104,0.0003133287,0.0001388089,0.00009078879,0.00001296315,0.0004206118,0.0001130352,0.000003703337],"category_scores_gemma":[0.00007430978,0.00007447749,0.00003867388,0.0002933785,0.0006299767,0.0001451471,0.0001029134,0.0002844445,0.000001198406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003021742,"about_ca_system_score_gemma":0.00001317431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001930526,"about_ca_topic_score_gemma":0.00003499926,"domain_scores_codex":[0.9970613,0.001496037,0.000401629,0.0005542084,0.0001342167,0.0003526016],"domain_scores_gemma":[0.9986678,0.0006142469,0.0002228353,0.0004329677,0.00003094048,0.00003124178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008930211,0.0002594077,0.7625996,0.0001183932,0.00002132364,0.00001337865,0.001388439,0.0008499927,0.02557359,0.00006178317,0.001973398,0.1982104],"study_design_scores_gemma":[0.004938674,0.001487633,0.968389,0.0003207845,0.00001180927,0.0001115335,0.0002051828,0.02210712,0.00117232,0.000442318,0.0005826891,0.0002309362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8044418,0.0001345281,0.1879412,0.005826849,0.001269382,0.0003229269,0.000001757278,0.00001847411,0.00004308868],"genre_scores_gemma":[0.9922624,0.0003766212,0.00581955,0.001417101,0.00005971943,0.00003384683,6.031582e-7,0.00001224295,0.00001792836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2057893,"threshold_uncertainty_score":0.3037104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0425554224991001,"score_gpt":0.2972445811216763,"score_spread":0.2546891586225762,"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."}}