{"id":"W2887151314","doi":"10.1038/s41562-018-0409-1","title":"Disengagement with cognitive tasks decreases effect sizes","year":2018,"lang":"en","type":"letter","venue":"Nature Human Behaviour","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Disengagement theory; Psychology; Cognitive psychology; Cognition; Medicine; Gerontology; Neuroscience","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006569927,0.0007222267,0.0009558927,0.0005261051,0.0005046163,0.001506421,0.001459482,0.005905963,0.04893252],"category_scores_gemma":[0.09696446,0.0002887576,0.0005391897,0.0004196681,0.001269474,0.001384672,0.0008534969,0.002694742,0.009048006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005065297,"about_ca_system_score_gemma":0.0008286135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008067991,"about_ca_topic_score_gemma":0.002250878,"domain_scores_codex":[0.9955965,0.001858952,0.0004980721,0.0005398057,0.001339818,0.0001668976],"domain_scores_gemma":[0.8617227,0.1218449,0.003753434,0.00656447,0.004223675,0.001890692],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01739629,0.001591793,0.009045616,0.001188981,0.0003820675,0.002652513,0.000632403,0.0004474325,0.02627738,0.007294602,0.3941338,0.5389571],"study_design_scores_gemma":[0.01201315,0.01007861,0.272925,0.001409117,0.001407635,0.01422049,0.0009912364,0.006630027,0.044384,0.1307692,0.5048898,0.0002817024],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2736472,0.01261266,0.02618848,0.457785,0.04547192,0.0006895908,0.003209001,0.005937576,0.1744586],"genre_scores_gemma":[0.7534491,0.004273094,0.02397351,0.1236794,0.02007196,0.0005917519,0.001276211,0.00210591,0.0705791],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9934301,"threshold_uncertainty_score":0.1636956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357192600214992,"score_gpt":0.3367831432769343,"score_spread":0.3132112172747843,"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."}}