{"id":"W4252690200","doi":"10.32920/14669202.v1","title":"The Survival Effect in Memory: Does It Hold into Old Age and Non-Ancestral Scenarios?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Confounding; Young adult; Survival analysis; Demography; Arousal; Survival of the fittest; Biology; Overall survival; Developmental psychology; Psychology; Oncology; Medicine; Evolutionary biology; Neuroscience; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001042237,0.0004122957,0.0005503065,0.00008272428,0.0003063111,0.001093293,0.0009299447,0.0002447929,0.0001043498],"category_scores_gemma":[0.001046723,0.0002177232,0.0001173367,0.000274377,0.0004362393,0.0002839006,0.001176613,0.0009540761,0.00001339767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000393523,"about_ca_system_score_gemma":0.0001705745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602704,"about_ca_topic_score_gemma":0.005659408,"domain_scores_codex":[0.9970552,0.000344346,0.0004546583,0.001160569,0.0004999455,0.0004853191],"domain_scores_gemma":[0.9979147,0.001013189,0.0001881223,0.0007174582,0.00003890856,0.0001276292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001287292,0.0009199401,0.151498,0.01631821,0.0002343117,0.008537436,0.02917348,0.00765056,0.6801506,0.005725914,0.004062689,0.09444167],"study_design_scores_gemma":[0.002361135,0.0006167822,0.05598982,0.002221406,0.0001091609,0.00004272987,0.005116724,0.006438525,0.909655,0.01023181,0.004496988,0.002719858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857541,0.0002990619,0.00001455796,0.001792344,0.001904413,0.0005628699,0.000005268585,0.00005436751,0.00961303],"genre_scores_gemma":[0.9932434,0.001785545,0.00009348816,0.001240151,0.0001687659,0.00009877313,0.00000339663,0.00002349589,0.003342992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2295045,"threshold_uncertainty_score":0.9999437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057430198923072,"score_gpt":0.3008814781156546,"score_spread":0.2703071761264239,"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."}}