{"id":"W2507850918","doi":"10.1167/16.12.101","title":"A recurrent convolutional neural network model for visual feature integration in memory and across saccades","year":2016,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Feature (linguistics); Computer science; Artificial intelligence; Saccade; Convolutional neural network; Pattern recognition (psychology); Saccadic masking; Eye movement; Computer vision","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":[],"consensus_categories":[],"category_scores_codex":[0.0006388287,0.0000778475,0.0001283861,0.00008286905,0.00009289573,0.00007314837,0.0001411965,0.00006671761,0.000001498957],"category_scores_gemma":[0.00007212753,0.00004714312,0.00007421688,0.0001383433,0.00002691704,0.0007788991,0.00005132735,0.0001285632,8.529859e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006410467,"about_ca_system_score_gemma":0.00003095685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.642346e-7,"about_ca_topic_score_gemma":0.00001437149,"domain_scores_codex":[0.9991511,0.00005692281,0.0002833529,0.0001372993,0.0002165527,0.0001547637],"domain_scores_gemma":[0.9994212,0.00007753578,0.0002122433,0.00005845819,0.000169205,0.00006135156],"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":[0.0004586452,0.0001717231,0.000895571,0.00001639886,0.0000100231,0.000004819868,0.001053775,0.004132845,0.03262878,0.00236761,0.003738228,0.9545216],"study_design_scores_gemma":[0.001130484,0.0006929739,0.03280409,0.0002181195,0.000002641453,0.0000653107,0.00004721915,0.9602165,0.000321407,0.004288819,0.0001313831,0.00008110022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.445376,0.0001947006,0.5522756,0.001582207,0.0004892045,0.00006907241,0.000001333899,0.000008104137,0.000003764063],"genre_scores_gemma":[0.992783,0.00006230589,0.006758565,0.0001054528,0.0001779155,0.000002642689,5.008875e-7,0.0000036892,0.0001059325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9560836,"threshold_uncertainty_score":0.1922441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594381894005361,"score_gpt":0.3501653640948137,"score_spread":0.3242215451547601,"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."}}