{"id":"W4391780204","doi":"10.1101/2024.02.12.579951","title":"Short-term memory capacity predicts willingness to expend cognitive effort for reward","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Term (time); Psychology; Cognition; Short-term memory; Cognitive psychology; Social psychology; Economics; Working memory; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005934688,0.0003684804,0.0002376142,0.0004629635,0.0001950066,0.0009324356,0.0002670346,0.0005487687,0.005173419],"category_scores_gemma":[0.003926794,0.0001571375,0.0002061908,0.0002325824,0.0002259851,0.0004142413,0.0004283026,0.0004920316,0.0005413329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001552424,"about_ca_system_score_gemma":0.0001090242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001390067,"about_ca_topic_score_gemma":0.002303486,"domain_scores_codex":[0.9998471,0.00002261416,0.00001989187,0.00004349676,0.00003712004,0.00002979458],"domain_scores_gemma":[0.9972758,0.0006416095,0.001231367,0.0002013219,0.0001969734,0.0004528718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006948615,0.001285359,0.9659374,0.00006389925,0.000144599,0.00009053144,0.0003166277,0.0005618462,0.01624126,0.0001792728,0.0003325918,0.01415178],"study_design_scores_gemma":[0.000006452106,0.0002696367,0.9977817,0.000008196727,0.00001850141,0.00005299637,0.0001036544,0.0007325618,0.0007106132,0.0002037088,0.0001049721,0.000007050001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994439,0.00004230624,0.00008951884,0.00001724835,0.000001693795,0.000004274156,0.00005796817,0.00000247288,0.0003406629],"genre_scores_gemma":[0.9993491,0.00003386389,0.0001617471,0.00001481424,0.000003293531,0.000007272216,0.00008360191,0.000001661164,0.0003446986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005173419,"threshold_uncertainty_score":0.0173068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1082668023348412,"score_gpt":0.3268148297191645,"score_spread":0.2185480273843233,"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."}}