{"id":"W2342027700","doi":"10.1016/j.cortex.2016.04.004","title":"Object representations in visual working memory change according to the task context","year":2016,"lang":"en","type":"article","venue":"Cortex","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Azrieli Foundation; Israel Science Foundation","keywords":"Gestalt psychology; Psychology; Context (archaeology); Conjunction (astronomy); Task (project management); Cognitive psychology; Perception; Working memory; Object (grammar); Priming (agriculture); Communication; Cognition; Artificial intelligence; Computer science; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004818685,0.0003322791,0.0003507131,0.0005226787,0.0002441641,0.001517139,0.0007621758,0.0007642188,0.002738416],"category_scores_gemma":[0.004883864,0.0005411245,0.0003041809,0.0004665186,0.0008145293,0.001766947,0.0006745276,0.001092165,0.0003514639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073053,"about_ca_system_score_gemma":0.000215684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009035966,"about_ca_topic_score_gemma":0.001188508,"domain_scores_codex":[0.9997581,0.00002906195,0.00001469454,0.00008393544,0.0000732445,0.00004096863],"domain_scores_gemma":[0.9983346,0.0007376752,0.0004440741,0.0002685055,0.0001054652,0.0001098188],"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":[0.002252754,0.0004333273,0.02052468,0.0001985438,0.0001732232,0.0001278827,0.001065151,0.0009686722,0.9177567,0.001683761,0.0004998459,0.05431557],"study_design_scores_gemma":[0.0001658132,0.0004324757,0.921742,0.00004067961,0.0001642725,0.0003757403,0.0006580413,0.00597479,0.06075439,0.008672637,0.0009745952,0.00004448869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947705,0.0004051802,0.002620462,0.0001338255,0.00003118248,0.00001414469,0.00009334784,0.00002444886,0.001906826],"genre_scores_gemma":[0.997821,0.0001882657,0.0008860818,0.0000743693,0.00002349828,0.00002076893,0.0001104675,0.00004274182,0.0008327426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002738416,"threshold_uncertainty_score":0.009160936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2656071026374872,"score_gpt":0.4213654058727884,"score_spread":0.1557583032353012,"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."}}