{"id":"W3173150132","doi":"10.1038/s41562-021-01162-0","title":"Technology may change cognition without necessarily harming it","year":2021,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Ontario Ministry of Research, Innovation and Science","keywords":"Cognition; Psychology; Cognitive psychology; Technological change; Cognitive science; Computer science; Neuroscience; Artificial intelligence","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":[0.0008807484,0.0004042269,0.000225748,0.0007176611,0.0008820733,0.003597916,0.0004861293,0.002020885,0.01086488],"category_scores_gemma":[0.005135612,0.0002427852,0.0005476638,0.0005697998,0.004102582,0.005988144,0.001668784,0.001163135,0.001418011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006270129,"about_ca_system_score_gemma":0.0008111718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000825624,"about_ca_topic_score_gemma":0.0008716289,"domain_scores_codex":[0.9989561,0.0003382333,0.00006103211,0.0002443691,0.0002598731,0.0001403443],"domain_scores_gemma":[0.9968119,0.001347756,0.0002853369,0.001016367,0.0002965108,0.0002421503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003492917,0.0004714543,0.02098428,0.0007016099,0.0004158878,0.0009331574,0.007842158,0.004625532,0.02859264,0.7956859,0.004067275,0.1353308],"study_design_scores_gemma":[0.00006635956,0.0003544128,0.02271482,0.0001395096,0.0002596165,0.0008608993,0.004864213,0.002940136,0.009028038,0.8864629,0.07224655,0.00006243906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4380206,0.002158514,0.08026492,0.0211476,0.001419731,0.00007709944,0.0002190995,0.0006311687,0.4560613],"genre_scores_gemma":[0.9825615,0.0006500962,0.007753498,0.0009964771,0.0001133676,0.00002380757,0.00003690534,0.00004747325,0.00781693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01086488,"threshold_uncertainty_score":0.03634667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04784697330492355,"score_gpt":0.335620829330705,"score_spread":0.2877738560257815,"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."}}