{"id":"W4366782949","doi":"10.31234/osf.io/pxfsz","title":"Age differences in Effectiveness of Encoding Techniques on Memory","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Encoding (memory); Recall; Reading aloud; Set (abstract data type); Psychology; Reading (process); Episodic memory; Read aloud; Cognitive psychology; Age groups; Developmental psychology; Cognition; Computer science; Linguistics; Neuroscience","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":[0.000766192,0.0003074152,0.0002205695,0.0005559172,0.00009822006,0.0003928433,0.0001396514,0.0002664022,0.001815182],"category_scores_gemma":[0.004613076,0.0001331699,0.0001591859,0.0002228615,0.000162636,0.000425273,0.0003084848,0.000143158,0.0003782333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019586,"about_ca_system_score_gemma":0.00007738764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000678907,"about_ca_topic_score_gemma":0.0008566231,"domain_scores_codex":[0.9997382,0.00004473454,0.00003612188,0.00007095968,0.00007098987,0.00003894671],"domain_scores_gemma":[0.9976171,0.0009864843,0.0005970201,0.0001847296,0.0003959311,0.0002187539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007091796,0.0007029705,0.7153529,0.000272899,0.000269506,0.0005000689,0.002743691,0.0003142252,0.1498927,0.0001468226,0.0003270818,0.1223853],"study_design_scores_gemma":[0.00002390747,0.002692793,0.985447,0.00001342413,0.00009516146,0.0006231432,0.0003543287,0.0001739318,0.009907612,0.0001158499,0.0005398199,0.00001299589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985185,0.0006931428,0.0001425847,0.000008400149,0.000004565396,0.000005625964,0.000075398,0.000004116106,0.000547694],"genre_scores_gemma":[0.9989316,0.000324101,0.000241474,0.000008029636,0.000006545453,0.000004947038,0.0001104646,0.000002536043,0.0003703271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001815182,"threshold_uncertainty_score":0.006072342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1279956747231362,"score_gpt":0.3525129027051186,"score_spread":0.2245172279819824,"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."}}