{"id":"W4396851301","doi":"10.31219/osf.io/z6mpw","title":"Haptic size perception is influenced by body and object orientation","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Haptic technology; Haptic perception; Perception; Orientation (vector space); Object (grammar); Computer science; Object-orientation; Computer vision; Artificial intelligence; Psychology; Geometry; Mathematics; Object-oriented programming","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002799944,0.0002550395,0.0002201262,0.0002289815,0.000120448,0.0005768602,0.0001592652,0.0003220497,0.003182521],"category_scores_gemma":[0.00364377,0.0001645848,0.0002126086,0.00009225832,0.0005081962,0.0005511115,0.0006855276,0.0002366673,0.0001892318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001067653,"about_ca_system_score_gemma":0.00009177703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004886618,"about_ca_topic_score_gemma":0.0003345815,"domain_scores_codex":[0.9997377,0.00004940449,0.0000147278,0.00006273278,0.00009132295,0.00004415125],"domain_scores_gemma":[0.9990196,0.0004214079,0.0002733331,0.00008858219,0.0001014074,0.00009559293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008448416,0.00003950828,0.005445144,0.00009185189,0.00001527604,0.0001118879,0.000317755,0.0001149893,0.985539,0.0001387987,0.00009030263,0.007250681],"study_design_scores_gemma":[0.0001139387,0.00124881,0.8860161,0.00005598118,0.00007219929,0.0005243564,0.001085741,0.002510298,0.1061306,0.001278139,0.0009073556,0.00005640594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959276,0.0001061926,0.002415189,0.00003151333,0.00002479996,0.00001263933,0.00004523716,0.00002324055,0.001413474],"genre_scores_gemma":[0.9984372,0.00007044102,0.0009848363,0.00003501733,0.000007612688,0.00001350504,0.00003976913,0.000014123,0.0003974956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003182521,"threshold_uncertainty_score":0.01064664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03245788636138304,"score_gpt":0.3409063186670387,"score_spread":0.3084484323056557,"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."}}