{"id":"W1859108970","doi":"10.1002/9780470479216.corpsy0028","title":"Aging and Intelligence","year":2010,"lang":"en","type":"other","venue":"The Corsini Encyclopedia of Psychology","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Cognitive aging; Psychology; Cognition; Cognitive science; Cognitive psychology; Data science; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001363248,0.0002834977,0.0004005244,0.0001694066,0.00008878209,0.000007108664,0.0006219587,0.0003308766,0.001023834],"category_scores_gemma":[0.0001100512,0.0001821209,0.00006725517,0.0002040958,0.00169824,0.00002332212,0.0001777287,0.000713323,0.0001581844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002689446,"about_ca_system_score_gemma":0.000011118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000421383,"about_ca_topic_score_gemma":0.00008107973,"domain_scores_codex":[0.9984934,0.0001526008,0.0002882286,0.0006123759,0.0001409871,0.0003123494],"domain_scores_gemma":[0.9988024,0.000226277,0.0002936834,0.0006041446,0.00001433033,0.00005913534],"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":[0.0000762596,0.0002797736,0.001947019,0.00007665119,0.00002766089,0.00008798778,0.0005378403,9.100741e-8,0.05015267,0.002371434,0.7611919,0.1832507],"study_design_scores_gemma":[0.0001507172,0.0001530691,0.0009300656,0.00004886891,0.00005159862,0.0001514318,0.00002399881,3.827864e-7,0.002497851,0.002751889,0.9929931,0.0002470911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01346096,0.001199153,0.00004913349,0.003205198,0.00437458,0.0003838463,0.00003929886,0.0001470054,0.9771408],"genre_scores_gemma":[0.05311297,0.03522396,0.0004874898,0.006223783,0.001310129,0.00006707744,0.000004415284,0.0004848146,0.9030854],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2318012,"threshold_uncertainty_score":0.9998894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0961895466564176,"score_gpt":0.3979673370142183,"score_spread":0.3017777903578007,"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."}}