{"id":"W4409718043","doi":"10.31219/osf.io/rw49j_v3","title":"Similarity is Associated With Where Repeated Event Memories Fall on the Semantic-Episodic Continuum","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Similarity (geometry); Semantic similarity; Natural language processing; Computer science; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001329787,0.0004172726,0.0004855618,0.0001576552,0.0004286706,0.0006999359,0.002151381,0.0002351947,0.00009397856],"category_scores_gemma":[0.0005093065,0.000251835,0.0001981766,0.00076449,0.0001975969,0.0002108714,0.002369488,0.0009108003,0.00003345321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135385,"about_ca_system_score_gemma":0.0005343684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005841657,"about_ca_topic_score_gemma":0.00556274,"domain_scores_codex":[0.9968259,0.0002946894,0.0003951437,0.001177602,0.0007889062,0.0005177586],"domain_scores_gemma":[0.9969502,0.000589239,0.0003294096,0.001359647,0.0006790602,0.00009244317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002685446,0.002849095,0.0747094,0.001229515,0.004834333,0.001013874,0.04376694,0.001169452,0.0005473176,0.1961978,0.5728511,0.1005627],"study_design_scores_gemma":[0.006628018,0.002437158,0.2141538,0.03255815,0.001256199,0.00006505341,0.006352212,0.3680712,0.04527496,0.25264,0.0598191,0.01074413],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1208535,0.0003913803,0.5662274,0.1086063,0.003230457,0.003584382,0.0001721119,0.001877621,0.195057],"genre_scores_gemma":[0.9578074,0.00009360276,0.00110656,0.008777858,0.00006711372,0.00009959778,0.00001937341,0.00001234409,0.03201618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8369539,"threshold_uncertainty_score":0.9999934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576117986150597,"score_gpt":0.2618385641173149,"score_spread":0.236077384255809,"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."}}