{"id":"W2894837775","doi":"10.3758/s13414-018-1597-5","title":"Feature-based attention across saccades: Pop-out in color search is spatiotopic","year":2018,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"FP7 Ideas: European Research Council","keywords":"Saccade; Visual search; Perception; Feature (linguistics); Artificial intelligence; Computer science; Eye movement; Psychology; Computer vision; Communication; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007200502,0.0004773554,0.0006738834,0.0009350357,0.0005469079,0.001947862,0.0007060351,0.000901579,0.003393123],"category_scores_gemma":[0.01081454,0.0006184175,0.0004947932,0.001130793,0.0004833922,0.001893294,0.001366603,0.0008760188,0.0006284033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005938768,"about_ca_system_score_gemma":0.000854629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004862685,"about_ca_topic_score_gemma":0.00367427,"domain_scores_codex":[0.9996542,0.00003940854,0.00001923662,0.0000843508,0.0001230752,0.0000797446],"domain_scores_gemma":[0.9973781,0.001272705,0.0003888808,0.0003070025,0.000374904,0.0002784626],"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":[0.002529864,0.0002930818,0.01984503,0.0002034648,0.0001245365,0.0005020401,0.0006727564,0.00453869,0.8598735,0.007084453,0.002361467,0.1019711],"study_design_scores_gemma":[0.000353275,0.000632478,0.7199147,0.0001342315,0.0003227754,0.001319786,0.0007880176,0.1435782,0.1005986,0.02959799,0.002632639,0.000127264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615037,0.0008209216,0.02993257,0.0003528685,0.0001491521,0.0000571059,0.0003344577,0.0003746358,0.006474626],"genre_scores_gemma":[0.994212,0.0002385588,0.00323727,0.0001126844,0.00005118642,0.00002167965,0.0002282537,0.0002155736,0.001682816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004862685,"threshold_uncertainty_score":0.01135111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07767513969092116,"score_gpt":0.3976192910877102,"score_spread":0.319944151396789,"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."}}