{"id":"W2996823757","doi":"10.1101/2020.01.06.896795","title":"Recallable but not Recognizable: The Influence of Semantic Priming in Recall Paradigms","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Neurological Disorders and Stroke; National Aeronautics and Space Administration","keywords":"Recall; Cognitive psychology; Psychology; Episodic memory; Cued recall; Context (archaeology); Free recall; Priming (agriculture); Cognition; Recall test; Fluency; Context-dependent memory; Cue-dependent forgetting; Semantic memory; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00112068,0.0006216139,0.0008757808,0.0002440289,0.0002171523,0.0002775179,0.001990977,0.0004623436,0.00004737491],"category_scores_gemma":[0.004721862,0.0005241486,0.0001420942,0.001562319,0.000407233,0.0004204394,0.0009383479,0.001440532,0.00008982164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001342436,"about_ca_system_score_gemma":0.0009913845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002305266,"about_ca_topic_score_gemma":0.000006274744,"domain_scores_codex":[0.9952233,0.0003949366,0.001206371,0.001643582,0.000760759,0.0007710347],"domain_scores_gemma":[0.9963199,0.0005514016,0.0009967327,0.001534048,0.0003494982,0.0002483647],"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":[0.0000768786,0.00008468719,0.002506523,0.001140175,0.0000183368,0.00008049504,0.00004714722,0.00256043,0.9926655,0.000742706,0.00007187507,0.000005219064],"study_design_scores_gemma":[0.0003635337,0.0000784635,0.03090654,0.001219644,0.0000557448,7.646654e-8,0.000007096475,0.001624439,0.9627007,0.00003829073,0.00233245,0.0006729846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963433,0.0003941218,0.00009810024,0.001140608,0.000598452,0.001031925,0.0001067473,0.0002088175,0.0000779414],"genre_scores_gemma":[0.9952828,0.001250964,0.001033747,0.001961648,0.0001798657,0.0001810585,7.719163e-8,0.00009782444,0.00001205011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02996478,"threshold_uncertainty_score":0.999721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04287338045636337,"score_gpt":0.249723428274884,"score_spread":0.2068500478185206,"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."}}