{"id":"W2974697531","doi":"10.1167/19.10.47d","title":"Costs of attentional set-shifting during dynamic foraging, controlled by a novel Unity3D-based integrative experimental toolkit","year":2019,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Joystick; Suite; Task (project management); Context (archaeology); Set (abstract data type); Modular design; Human–computer interaction; Artificial intelligence; Simulation","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":[0.0007076879,0.0004389064,0.0003876864,0.0003508792,0.0002837437,0.0005434222,0.001509489,0.000349096,0.003616814],"category_scores_gemma":[0.002115913,0.0002672246,0.0002974354,0.0002015934,0.0008531404,0.0005871911,0.001385316,0.0003800812,0.000266701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006572705,"about_ca_system_score_gemma":0.000554814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001497463,"about_ca_topic_score_gemma":0.001491495,"domain_scores_codex":[0.9997296,0.00004118232,0.00002593094,0.00007026292,0.00007874575,0.0000542171],"domain_scores_gemma":[0.9989812,0.0004007256,0.0001295995,0.0001758627,0.00009334786,0.0002193197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005864632,0.001225639,0.004701653,0.0004284968,0.00009739139,0.0002063334,0.0003852292,0.02516827,0.9368309,0.002872311,0.0004750913,0.02174409],"study_design_scores_gemma":[0.001587357,0.008904858,0.06881358,0.0000842792,0.0003204904,0.0005012314,0.0002762724,0.4421981,0.465557,0.00559796,0.00593666,0.0002221921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857758,0.00005628775,0.01265816,0.0000328416,0.00001312227,0.00007638711,0.0001429319,0.0002918668,0.0009525761],"genre_scores_gemma":[0.9857869,0.00004175692,0.013249,0.00001963881,0.000002618586,0.0001877318,0.0001416752,0.0000772246,0.0004934919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003616814,"threshold_uncertainty_score":0.01209944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014167202964767,"score_gpt":0.2948636882773663,"score_spread":0.2847220162477186,"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."}}