{"id":"W3208368467","doi":"10.1163/22134808-bja10065","title":"Imagine Your Crossed Hands as Uncrossed: Visual Imagery Impacts the Crossed-Hands Deficit","year":2021,"lang":"en","type":"article","venue":"Multisensory Research","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reference frame; Psychology; Frame of reference; Frame (networking); Communication; Cognitive psychology; Computer vision; Computer science","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":[0.0003968078,0.0007167455,0.0003826346,0.0004532544,0.0002081886,0.000501663,0.0002594787,0.0005322912,0.005460137],"category_scores_gemma":[0.00234274,0.0001838675,0.0001666018,0.00009878382,0.001168004,0.0006319128,0.001049682,0.0008668891,0.0002867551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001724181,"about_ca_system_score_gemma":0.0002345067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008067906,"about_ca_topic_score_gemma":0.0008167517,"domain_scores_codex":[0.9996779,0.00005208137,0.00002927938,0.00008771387,0.00009909744,0.00005384192],"domain_scores_gemma":[0.9992751,0.000243019,0.0002067663,0.00009979759,0.000029273,0.0001459319],"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":[0.003198913,0.001237736,0.02497976,0.0002836065,0.00006507019,0.006003335,0.003083384,0.000347724,0.912974,0.001518806,0.0008737459,0.04543392],"study_design_scores_gemma":[0.0006794197,0.01108098,0.4859701,0.0004025275,0.0003887506,0.0483289,0.01743627,0.004881694,0.4082636,0.01492621,0.007413915,0.0002276155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974336,0.000149628,0.0006916785,0.0001017802,0.00002171684,0.000006649419,0.00002876435,0.00003113542,0.001535095],"genre_scores_gemma":[0.9984562,0.0000805048,0.0004176674,0.00005785463,0.000003799959,0.000009752668,0.00002244568,0.00001031322,0.0009413927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005460137,"threshold_uncertainty_score":0.01826602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1976055540193526,"score_gpt":0.4683306759169684,"score_spread":0.2707251218976159,"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."}}