{"id":"W4306871265","doi":"10.1038/s41598-022-22133-z","title":"Tactile facilitation during actual and mere expectation of object reception","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Ford Motor Company (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Object (grammar); Perception; Stimulus (psychology); Facilitation; Tactile perception; Computer science; Computer vision; Haptic technology; Anticipation (artificial intelligence); Communication; Psychology; Artificial intelligence; Cognitive psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003428328,0.0002440985,0.0003590572,0.0001455665,0.0001381392,0.0002452294,0.0001726025,0.0003071208,0.002380911],"category_scores_gemma":[0.003128392,0.0001671673,0.0001273975,0.00008924553,0.0003321492,0.0003792933,0.0006690166,0.0003087678,0.0001725638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042611,"about_ca_system_score_gemma":0.0001813507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003323171,"about_ca_topic_score_gemma":0.0004229489,"domain_scores_codex":[0.9996903,0.00006696705,0.00002335275,0.00007718975,0.00007489632,0.00006733451],"domain_scores_gemma":[0.9989983,0.0006446364,0.0001323697,0.00007400815,0.00005818819,0.00009231912],"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":[0.001630261,0.00004993385,0.001145325,0.0001100193,0.000005292403,0.0001347058,0.0003055003,0.00006142525,0.9927153,0.00007738347,0.00002042168,0.003744485],"study_design_scores_gemma":[0.000254169,0.01001337,0.6765064,0.00006287159,0.00007250837,0.001591248,0.0008402392,0.003122835,0.3047632,0.001393133,0.001320595,0.00005938201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981268,0.0001277112,0.0008804813,0.00001026941,0.000006777532,0.00001669517,0.00002373505,0.00001497889,0.0007925299],"genre_scores_gemma":[0.9989593,0.00005173929,0.0006117558,0.00001019814,0.000005651576,0.00003205985,0.00003243615,0.00000803913,0.0002887523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002380911,"threshold_uncertainty_score":0.007964909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296471633527391,"score_gpt":0.2449402294622939,"score_spread":0.2219755131270199,"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."}}