{"id":"W4319602794","doi":"10.31234/osf.io/v2zg4","title":"Sustained Attention Required for Effective Dimension-Based Retro-Cue Benefit in Visual Working Memory","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Academy of Finland; National Natural Science Foundation of China","keywords":"Dimension (graph theory); Cognitive psychology; Working memory; Psychology; Computer science; Neuroscience; Cognition; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001442501,0.0004106933,0.0005130928,0.0009226568,0.0002273455,0.000309025,0.0006643704,0.0004641477,0.00000993274],"category_scores_gemma":[0.0002583605,0.0004098741,0.0004124417,0.0009261364,0.00004172601,0.0002448818,0.001117646,0.0005076661,0.00005386525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006035128,"about_ca_system_score_gemma":0.0001468586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002301768,"about_ca_topic_score_gemma":0.0003314347,"domain_scores_codex":[0.9965997,0.0002245846,0.0006986294,0.001371614,0.000533885,0.0005716294],"domain_scores_gemma":[0.9981012,0.0004396974,0.000344359,0.0006841933,0.0003141441,0.0001163497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001953548,0.002716585,0.01568976,0.003979377,0.0006424362,0.0003290566,0.002794845,0.1172465,0.04427941,0.0714278,0.002833132,0.7361076],"study_design_scores_gemma":[0.001943445,0.0004640841,0.02116244,0.0006710419,0.0000310744,0.000002094774,0.0002155176,0.9521902,0.004091132,0.01847484,0.00005346538,0.0007006986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2388816,0.00002912839,0.7521181,0.001206275,0.003798484,0.002539466,0.000004714102,0.001075064,0.000347202],"genre_scores_gemma":[0.9903103,0.000005181529,0.00626048,0.0002289886,0.000180805,0.0009199059,0.0001037919,0.00005194917,0.001938622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8349437,"threshold_uncertainty_score":0.9998353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194182123683597,"score_gpt":0.3144458878446811,"score_spread":0.2825040666078452,"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."}}