{"id":"W4394550272","doi":"10.6084/m9.figshare.3121582","title":"Working Memory Training in Healthy Adults","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Working memory training; Psychology; Working memory; Cognitive psychology; Computer science; Geography; Neuroscience; Cognition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001202677,0.001106946,0.00142761,0.001558435,0.0006369089,0.001393947,0.002095516,0.001382067,0.0356086],"category_scores_gemma":[0.008759417,0.0004249277,0.001432483,0.002752972,0.0002244455,0.0008496584,0.001297744,0.0009033207,0.01938829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006738064,"about_ca_system_score_gemma":0.0009624065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02351124,"about_ca_topic_score_gemma":0.03392222,"domain_scores_codex":[0.9992155,0.0001438229,0.0001934563,0.000237731,0.00011664,0.00009287757],"domain_scores_gemma":[0.9968419,0.0006885995,0.0007284399,0.0007495917,0.000683173,0.0003082621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004111623,0.0003378384,0.05279315,0.003289322,0.0006387185,0.0001748781,0.0002113065,0.0002988847,0.000271901,0.0004787341,0.9124706,0.02492298],"study_design_scores_gemma":[0.005913597,0.0005591754,0.4231635,0.002322841,0.001014516,0.0008644307,0.000451682,0.0006782711,0.0006645672,0.001936301,0.562257,0.0001742356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00618236,0.0003637612,0.00008921332,0.0001138413,0.00003479068,0.00009582061,0.9920458,0.00009342418,0.0009809906],"genre_scores_gemma":[0.01190335,0.0002702133,0.0003476434,0.0002230762,0.0000470868,0.0007071475,0.9847503,0.0000576827,0.001693566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0356086,"threshold_uncertainty_score":0.1191226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456941692031621,"score_gpt":0.3572655304670644,"score_spread":0.2115713612639023,"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."}}