{"id":"W4402024016","doi":"10.1016/j.neubiorev.2024.105869","title":"Spatial attention in three-dimensional space: A meta-analysis for the near advantage in target detection and localization","year":2024,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monocular; Moderation; Psychology; Contrast (vision); Space (punctuation); Computer science; Observer (physics); Spatial ability; Motion (physics); Artificial intelligence; Meta-analysis; Computer vision; Cognitive psychology; Cognition; Neuroscience; Social psychology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01542292,0.00177524,0.007623916,0.003387696,0.0007058167,0.003363692,0.001886107,0.002351922,0.003637948],"category_scores_gemma":[0.03390518,0.0008977965,0.02969535,0.004843251,0.001072016,0.002048517,0.001398479,0.002065746,0.0002791372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027487,"about_ca_system_score_gemma":0.0009912041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004050971,"about_ca_topic_score_gemma":0.007589176,"domain_scores_codex":[0.9862141,0.006505109,0.002898226,0.002847449,0.001189757,0.0003453269],"domain_scores_gemma":[0.9456165,0.04577327,0.004861131,0.002041886,0.001264123,0.0004430417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004260222,0.00003343408,0.03871089,0.06849917,0.8754557,0.000271935,0.0002764408,0.0003600549,0.0006950785,0.0003249286,0.000551816,0.01056029],"study_design_scores_gemma":[0.000574838,0.0002956378,0.03217903,0.005611261,0.9583167,0.0002184067,0.0001294455,0.0002767536,0.0002838702,0.0006546938,0.001429036,0.00003024133],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0549982,0.9393036,0.002590488,0.0006214972,0.0003143455,0.0001445713,0.001079275,0.0000586944,0.0008892464],"genre_scores_gemma":[0.8743346,0.1185356,0.003253985,0.001420246,0.0003283938,0.0004697654,0.00107268,0.0001022821,0.0004823965],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01542292,"threshold_uncertainty_score":0.0815652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3057332273907325,"score_gpt":0.4481150437906251,"score_spread":0.1423818163998926,"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."}}