{"id":"W2009428781","doi":"10.3758/s13414-013-0440-2","title":"Playing shooter and driving videogames improves top-down guidance in visual search","year":2013,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":138,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Visual search; Action (physics); Task (project management); Computer science; Perception; Video game; Feature (linguistics); Dual (grammatical number); Human–computer interaction; Multimedia; Artificial intelligence; Psychology; Engineering","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":[0.0001139103,0.0005246811,0.0004582974,0.0001734055,0.0001409351,0.0004838966,0.0003333426,0.0003937319,0.007811323],"category_scores_gemma":[0.001168426,0.0002139716,0.0001654633,0.00008089717,0.0002143166,0.0003104601,0.0003549097,0.0005960203,0.0009303218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965719,"about_ca_system_score_gemma":0.0003378733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005452933,"about_ca_topic_score_gemma":0.004673366,"domain_scores_codex":[0.9998912,0.00001202876,0.000005792378,0.00004141788,0.00002024667,0.00002929445],"domain_scores_gemma":[0.9997091,0.00009558841,0.00004700373,0.00003257757,0.00002156604,0.00009424323],"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":[0.01767568,0.005262688,0.005632576,0.0003138713,0.000153807,0.00008032267,0.0003213421,0.0006821992,0.860316,0.0002268659,0.002413706,0.1069209],"study_design_scores_gemma":[0.004290074,0.03038269,0.7501942,0.0001516424,0.0007608159,0.0004811746,0.0006258563,0.01826798,0.1846177,0.001849361,0.00828429,0.0000942301],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973322,0.0001687818,0.0006327822,0.00006087923,0.00003405272,0.00001941831,0.0001070604,0.0000840413,0.001560858],"genre_scores_gemma":[0.9909701,0.0003119369,0.001609479,0.0001349719,0.00002304387,0.00005185124,0.0003481644,0.00007782033,0.006472541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007811323,"threshold_uncertainty_score":0.02613151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008497681458792795,"score_gpt":0.2605176663268458,"score_spread":0.2520199848680529,"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."}}