{"id":"W4289852844","doi":"10.1523/jneurosci.0443-22.2022","title":"Common Neural Mechanisms Control Attention and Working Memory","year":2022,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Education and Knowledge; National Eye Institute; York University; New York University Abu Dhabi","keywords":"Selection (genetic algorithm); Working memory; Mechanism (biology); Perception; Cognitive psychology; Psychology; Functional magnetic resonance imaging; Posterior parietal cortex; Computer science; Artificial intelligence; Neuroscience; Cognition","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":[0.0006360972,0.0003434802,0.0003785331,0.0005876998,0.0002344615,0.001403368,0.0008712316,0.0007510716,0.001086097],"category_scores_gemma":[0.002687323,0.0002742977,0.0005333869,0.0002973186,0.001216525,0.00152473,0.0007947528,0.0005209042,0.0002230069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005653845,"about_ca_system_score_gemma":0.0003440285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001287095,"about_ca_topic_score_gemma":0.0008260262,"domain_scores_codex":[0.9996499,0.00005034163,0.00001892119,0.0001402986,0.00006991503,0.00007052314],"domain_scores_gemma":[0.9992114,0.0002971645,0.0001858936,0.0001441229,0.0000857659,0.0000755514],"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":[0.0008379609,0.0002397989,0.05522323,0.0005477574,0.0005966669,0.0009232865,0.002422666,0.01671791,0.5821267,0.07304942,0.001243079,0.2660716],"study_design_scores_gemma":[0.000177408,0.0007126062,0.4288823,0.0001993348,0.0002883183,0.001440259,0.0009281324,0.132879,0.1309362,0.2979739,0.005406879,0.0001756342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8464346,0.002338705,0.1390348,0.0005105325,0.00007070923,0.00007345483,0.0001376808,0.0004423704,0.010957],"genre_scores_gemma":[0.9902042,0.0003263206,0.008523013,0.00006529874,0.0000315893,0.00003434435,0.00005120715,0.00002015401,0.0007439102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001403368,"threshold_uncertainty_score":0.004102111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1352179188787684,"score_gpt":0.3505269712124868,"score_spread":0.2153090523337184,"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."}}