{"id":"W2465665320","doi":"10.1080/09658211.2016.1205094","title":"Getting at the source of distinctive encoding effects in the DRM paradigm: evidence from signal-detection measures and source judgments","year":2016,"lang":"en","type":"article","venue":"Memory","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Anagram; False memory; Psychology; Optimal distinctiveness theory; Task (project management); Cognitive psychology; Encoding (memory); Set (abstract data type); Recall; Test (biology); Social psychology; Computer science","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":[0.002140767,0.0003998816,0.0003578079,0.0007886596,0.0002047916,0.0004237187,0.0005940569,0.0007021396,0.001705467],"category_scores_gemma":[0.009671331,0.0003275384,0.0001487014,0.0002399878,0.0009405419,0.0009828906,0.000867637,0.0009038221,0.0002613587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736648,"about_ca_system_score_gemma":0.0001491296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002062971,"about_ca_topic_score_gemma":0.000429232,"domain_scores_codex":[0.998489,0.0004177311,0.0001758037,0.0003906879,0.0004430402,0.00008366246],"domain_scores_gemma":[0.9930279,0.00268563,0.002046963,0.001449998,0.0003812079,0.0004083144],"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":[0.002336155,0.0007163738,0.008177682,0.000143795,0.00005467929,0.000168284,0.001015211,0.0001094162,0.965488,0.0006930489,0.0000671006,0.02103021],"study_design_scores_gemma":[0.0002681934,0.009135692,0.1631203,0.00002880322,0.00010668,0.001559677,0.000473946,0.002769824,0.8189561,0.002790872,0.0007263873,0.00006345638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901244,0.00008054882,0.008680163,0.00005460544,0.00001170089,0.00004539989,0.00003696435,0.0000427557,0.0009234867],"genre_scores_gemma":[0.9910455,0.00004236375,0.008092739,0.00008402667,0.00001072102,0.00007326729,0.00005537365,0.00002991518,0.0005659781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002140767,"threshold_uncertainty_score":0.01132154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04323632912669183,"score_gpt":0.2642135789082917,"score_spread":0.2209772497815999,"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."}}