{"id":"W4405961419","doi":"10.1093/geroni/igae098.2190","title":"EFFECTS OF ATTENTIONAL CONTROL DEMANDS IN PROCESSING SPEED TRAINING ACROSS THE ADULT LIFESPAN: FIRST FINDINGS","year":2024,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Economic and Social Research Council","keywords":"Training (meteorology); Psychology; Control (management); Attentional control; Cognitive psychology; Computer science; Neuroscience; Artificial intelligence; Cognition; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001164529,0.0003160862,0.0003795112,0.0004020661,0.0002526878,0.0003053213,0.0003355545,0.0005472351,0.001448106],"category_scores_gemma":[0.003018117,0.0001757746,0.000254787,0.0002454846,0.0004190097,0.0003969137,0.0005157382,0.0004795817,0.0001375998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002758747,"about_ca_system_score_gemma":0.0002441799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003797011,"about_ca_topic_score_gemma":0.004614204,"domain_scores_codex":[0.9997285,0.00007184652,0.00001963864,0.00007444272,0.00006360711,0.00004184194],"domain_scores_gemma":[0.997262,0.0009299501,0.0006446588,0.0004396216,0.0003040118,0.00041976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02768654,0.005979127,0.8042631,0.0003075305,0.000416852,0.0006597142,0.003766774,0.0004471186,0.04426124,0.0001903577,0.000542981,0.1114787],"study_design_scores_gemma":[0.00004068936,0.003193253,0.9950778,0.000008876596,0.00005067854,0.00006933564,0.0001547057,0.00007718856,0.001174615,0.00003570952,0.0001133217,0.000003882222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994444,0.0001996011,0.00006113326,0.00001450647,0.000001814791,0.000009430741,0.00004657555,0.000003100677,0.0002194026],"genre_scores_gemma":[0.9996284,0.0000548154,0.0000768988,0.00001378776,0.000004953776,0.00001149904,0.00003398859,0.000001001755,0.0001745134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003797011,"threshold_uncertainty_score":0.007549822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844388684885686,"score_gpt":0.3250596074005841,"score_spread":0.3066157205517273,"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."}}