{"id":"W4414000437","doi":"10.1101/2025.09.02.673854","title":"Tool and hand adaptation and localization in immersive virtual reality","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Western University","funders":"","keywords":"Adaptation (eye); Virtual reality; Human–computer interaction; Computer science; Psychology; Cognitive psychology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007422183,0.0003069862,0.0003975406,0.0003646942,0.0001350872,0.0004534064,0.0003049198,0.0003819725,0.000001796908],"category_scores_gemma":[0.0001921369,0.0003380486,0.000036994,0.0005583274,0.00009555215,0.0002680597,0.0005329512,0.0003468977,0.000004986069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375578,"about_ca_system_score_gemma":0.0004035902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001647097,"about_ca_topic_score_gemma":0.0000247253,"domain_scores_codex":[0.9978238,0.0002709693,0.0004643329,0.0009151996,0.0002650829,0.0002606121],"domain_scores_gemma":[0.9985358,0.0001227555,0.0002624066,0.0006002196,0.0003609424,0.0001178442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006281142,0.0021248,0.2222901,0.01591058,0.001995125,0.001014084,0.01068873,0.03025065,0.4457419,0.2601124,0.004300811,0.00494271],"study_design_scores_gemma":[0.004475993,0.0002782233,0.3515581,0.005262872,0.0001910855,2.474131e-7,0.0001241041,0.5169308,0.1072384,0.0001971879,0.0104057,0.003337171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2509793,0.001030424,0.7455427,0.0004138482,0.0008985557,0.0008747086,0.0001026443,0.0001384017,0.00001944673],"genre_scores_gemma":[0.9968374,0.0002288738,0.002512629,0.0002050505,0.00009358151,0.0001017637,4.060744e-7,0.00001495232,0.000005366373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7458581,"threshold_uncertainty_score":0.9999071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048227318278762,"score_gpt":0.2304253085747472,"score_spread":0.2099430353919596,"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."}}