{"id":"W578418559","doi":"10.1016/j.actpsy.2015.06.001","title":"Action video game players' visual search advantage extends to biologically relevant stimuli","year":2015,"lang":"en","type":"article","venue":"Acta Psychologica","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Video game; Action (physics); Task (project management); Psychology; Cognitive psychology; Variety (cybernetics); Visual search; Cognition; Computer science; Multimedia; Neuroscience; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000441405,0.0003689253,0.0003918094,0.0001864278,0.0002281867,0.00007330893,0.0006764126,0.0002417898,0.0003001565],"category_scores_gemma":[0.0007231432,0.0002470161,0.0001192696,0.0006662261,0.0003663813,0.0002598019,0.0003159932,0.0005735675,0.00170533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006899298,"about_ca_system_score_gemma":0.00002024123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000901668,"about_ca_topic_score_gemma":0.000005929298,"domain_scores_codex":[0.9966421,0.0003538303,0.0004025277,0.001320969,0.0004697651,0.000810848],"domain_scores_gemma":[0.9985659,0.0002733521,0.0001094929,0.0004977002,0.00009879671,0.000454762],"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":[0.0009980444,0.0006780667,0.00429282,0.00000321596,0.000006636465,0.0002568675,0.0002493199,0.000008446728,0.9469948,0.00007457872,0.02824839,0.01818875],"study_design_scores_gemma":[0.005858737,0.02326992,0.3580791,0.00007438209,0.0000892993,0.0009833948,0.002315183,0.0001036097,0.3435287,0.002282348,0.2608854,0.002529907],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823874,0.00003424105,0.0001366319,0.007887342,0.001315595,0.0004956078,0.00002692046,0.0004108485,0.007305479],"genre_scores_gemma":[0.9864475,0.0001500206,0.0003757463,0.01037517,0.0002109091,0.00007261522,0.000004868116,0.00002424635,0.002338981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6034662,"threshold_uncertainty_score":0.9999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4304417140834166,"score_gpt":0.5021859041734855,"score_spread":0.07174419009006888,"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."}}