{"id":"W4401766787","doi":"10.31234/osf.io/jp7gu","title":"Beyond routine maintenance: Current trends in working memory research","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Current (fluid); Computer science; Data science; Engineering; Electrical 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":[0.01475869,0.0009027597,0.002480746,0.004785735,0.001429928,0.008552507,0.00308163,0.004951582,0.005578872],"category_scores_gemma":[0.019164,0.000675099,0.0008768259,0.005665313,0.0102381,0.02325464,0.003254952,0.00779335,0.001796961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003197829,"about_ca_system_score_gemma":0.003884642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002075245,"about_ca_topic_score_gemma":0.001871385,"domain_scores_codex":[0.9972886,0.0009233843,0.0002695934,0.0007146609,0.0006408631,0.0001628793],"domain_scores_gemma":[0.9400887,0.04982697,0.001494285,0.001940858,0.005084095,0.001565098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004103357,0.0002112399,0.003040654,0.009177253,0.0001877738,0.0001541203,0.003409188,0.0005902601,0.001628236,0.1269662,0.02902767,0.8251971],"study_design_scores_gemma":[0.00006485436,0.0003257674,0.008338276,0.01034864,0.0001499889,0.0005883939,0.0032728,0.001308443,0.001118652,0.6496567,0.3246496,0.0001778455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002386412,0.9477842,0.004584181,0.04080049,0.001141408,0.00001479047,0.00006709677,0.00007349004,0.00314782],"genre_scores_gemma":[0.04172146,0.9184162,0.008511727,0.01437258,0.01491632,0.0001417779,0.0001954206,0.00009561607,0.001628848],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01475869,"threshold_uncertainty_score":0.07805234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1563794616391543,"score_gpt":0.4995651628502597,"score_spread":0.3431857012111054,"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."}}