{"id":"W2007258641","doi":"10.1152/jn.01209.2007","title":"Tactile Speed Scaling: Contributions of Time and Space","year":2008,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Scaling; Stimulus (psychology); Perception; Motion perception; Spatial frequency; Psychophysics; Mathematics; Physics; Computer vision; Artificial intelligence; Motion (physics); Computer science; Communication; Optics; Biological system; Psychology; Geometry; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00001024056,0.00007812162,0.0002638168,0.0001208505,0.0001096546,0.000005292395,0.0001110529,0.00004235093,0.00009321213],"category_scores_gemma":[0.0008586434,0.00006392608,0.0000963993,0.0001241174,0.0002105748,0.0001553346,0.00002911114,0.0002669102,0.00004011081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001121756,"about_ca_system_score_gemma":0.00004439624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005812505,"about_ca_topic_score_gemma":8.189981e-8,"domain_scores_codex":[0.9991972,0.0001412729,0.000303419,0.0001150991,0.0001092876,0.00013365],"domain_scores_gemma":[0.9987935,0.0005266443,0.0003517918,0.0001112439,0.0001363254,0.00008048196],"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":[0.0001227137,0.0000921163,0.00001766763,0.000002067977,0.000006477667,0.0001702552,0.00007359919,0.0004211033,0.9985257,0.00009594005,0.0004253471,0.00004696527],"study_design_scores_gemma":[0.0005552993,0.0007450734,0.006877065,0.0000115774,0.00002325644,0.004948102,0.00002104122,0.001048421,0.9788778,0.0002097423,0.006601328,0.0000813408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983963,0.000004700571,0.00002505254,0.0005487971,0.0003418718,0.00003994953,0.00001973104,0.000007925665,0.0006156274],"genre_scores_gemma":[0.9988623,0.0002248869,0.00003418246,0.0002915594,0.000143168,1.472472e-7,2.832113e-7,0.000007529306,0.0004360039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01964799,"threshold_uncertainty_score":0.260683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0332606788672244,"score_gpt":0.2874815725962666,"score_spread":0.2542208937290422,"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."}}