{"id":"W1967052682","doi":"10.1016/j.neuroimage.2006.05.039","title":"The relationship between fMRI adaptation and repetition priming","year":2006,"lang":"en","type":"article","venue":"NeuroImage","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Repetition priming; Psychology; Stimulus (psychology); Priming (agriculture); Functional magnetic resonance imaging; Neuroscience; Neuroimaging; Cognitive psychology; Response priming; Repetition (rhetorical device); Adaptation (eye); Cognition; Biology; Lexical decision task","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":[0.001946892,0.0003680565,0.0004618519,0.0005418598,0.0003006327,0.0005646104,0.0007177472,0.001005556,0.01112752],"category_scores_gemma":[0.01939318,0.0005532396,0.0002727297,0.0004209372,0.0009264471,0.001064485,0.0005790855,0.001406271,0.001130961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002630502,"about_ca_system_score_gemma":0.0003630025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000814865,"about_ca_topic_score_gemma":0.0009421195,"domain_scores_codex":[0.9994578,0.0001911649,0.00003013661,0.0001759996,0.0001009937,0.00004387147],"domain_scores_gemma":[0.9831548,0.01322435,0.001393699,0.001366835,0.0004119785,0.0004483095],"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":[0.01026796,0.001234342,0.04462946,0.0005643395,0.000448354,0.001078385,0.001126364,0.001939574,0.8313474,0.008715619,0.002533641,0.09611449],"study_design_scores_gemma":[0.0004197033,0.001762706,0.9147791,0.00006585713,0.0002926421,0.005617869,0.0001630564,0.006460504,0.04939028,0.01835928,0.00259736,0.00009167019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533704,0.003147959,0.01779932,0.001068013,0.0003553779,0.0002025728,0.0003665279,0.0004931007,0.02319679],"genre_scores_gemma":[0.991397,0.0005922575,0.003129229,0.0006070905,0.0002958692,0.0001294938,0.0002238878,0.0002934788,0.003331771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01112752,"threshold_uncertainty_score":0.03722519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412005720911697,"score_gpt":0.3046759402210619,"score_spread":0.1634753681298922,"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."}}