{"id":"W2070972591","doi":"10.1167/14.10.1368","title":"A measure of working memory capacity using a 3D videogame.","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Measure (data warehouse); Working memory; Psychology; Computer science; Neuroscience; Database; Cognition","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":[0.0004496539,0.0007873133,0.0003080395,0.0008603422,0.0003808122,0.0005353887,0.0008582085,0.0007332087,0.005470281],"category_scores_gemma":[0.00207997,0.0002621731,0.0005287107,0.0004267055,0.0002588755,0.0006059466,0.0006149289,0.0008761482,0.0009469647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751211,"about_ca_system_score_gemma":0.0002646364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002114202,"about_ca_topic_score_gemma":0.003398907,"domain_scores_codex":[0.9997199,0.00004978681,0.00003762463,0.00006020402,0.00009715376,0.00003528528],"domain_scores_gemma":[0.9987947,0.0002680939,0.0003513189,0.0001082586,0.0002144459,0.0002630996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01000494,0.03198473,0.38022,0.001842222,0.001698287,0.0009086868,0.003338038,0.003264555,0.2244145,0.001811906,0.02187073,0.3186414],"study_design_scores_gemma":[0.00031283,0.009178361,0.9561875,0.0001254079,0.0003675767,0.001105793,0.0005369792,0.002303299,0.02433931,0.001313791,0.004113309,0.0001158667],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848991,0.0004565615,0.002884793,0.00009694981,0.00005411153,0.0004532276,0.001985278,0.0001299649,0.009040065],"genre_scores_gemma":[0.978101,0.0004335165,0.008393431,0.000202113,0.00003014531,0.0008587593,0.002225235,0.0000310129,0.009724793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005470281,"threshold_uncertainty_score":0.01829988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0852131183744439,"score_gpt":0.35656836002995,"score_spread":0.2713552416555061,"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."}}