{"id":"W2095219448","doi":"10.1016/j.jneumeth.2008.11.024","title":"Novel vibrotactile discrimination task for investigating the neural correlates of short-term learning with fMRI","year":2008,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Toronto; University of Waterloo; Toronto Rehabilitation Institute; Sunnybrook Health Science Centre; Heart and Stroke Foundation","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Functional magnetic resonance imaging; Stimulus (psychology); Psychology; Perception; Neural correlates of consciousness; Task (project management); Perceptual learning; Session (web analytics); Cognitive psychology; Audiology; Computer science; Neuroscience; Cognition; Medicine","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":[0.0002573058,0.0004243523,0.0003470065,0.000170316,0.0002168765,0.0002423823,0.0005105732,0.0006302578,0.002611812],"category_scores_gemma":[0.0004376762,0.0001912345,0.0001590633,0.0001518026,0.0002430126,0.0004094002,0.0002754529,0.0007296316,0.000198689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326348,"about_ca_system_score_gemma":0.0003032491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003974824,"about_ca_topic_score_gemma":0.002090721,"domain_scores_codex":[0.9999094,0.00001121816,0.000005352299,0.00003410895,0.00002077076,0.00001921326],"domain_scores_gemma":[0.9998565,0.00005421214,0.00001895732,0.00001700783,0.00001794251,0.00003538646],"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":[0.0004302301,0.0003116423,0.0007134666,0.00007844178,0.00001433209,0.00005868863,0.00002397926,0.00009502251,0.9864323,0.0002861204,0.0002286648,0.01132707],"study_design_scores_gemma":[0.0007567893,0.009877144,0.2234452,0.00006409344,0.0003784971,0.004492933,0.0001537561,0.02595671,0.7241859,0.005055383,0.005492622,0.000141025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9171911,0.0007765225,0.07768662,0.0003917849,0.0002405956,0.0002995417,0.0008101893,0.0001691744,0.002434469],"genre_scores_gemma":[0.9571257,0.0004537163,0.03840958,0.000328864,0.0001271281,0.0004919256,0.0005606636,0.00005146192,0.002450899],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002611812,"threshold_uncertainty_score":0.008737385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1547704172418577,"score_gpt":0.3935001685966673,"score_spread":0.2387297513548095,"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."}}