{"id":"W2102255393","doi":"10.1109/ccece.1995.526413","title":"Alternative manipulation strategies in a virtual reality training system","year":2002,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Polytechnique Montréal; McGill University","funders":"","keywords":"Virtual reality; Immersion (mathematics); Computer science; Human–computer interaction; Interface (matter); Training system; Training (meteorology); Test (biology); Field (mathematics); Simulation","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":[0.0006405434,0.0006171539,0.0004961184,0.0006759109,0.0002638114,0.0008173189,0.0009931982,0.0008387587,0.004560809],"category_scores_gemma":[0.001394716,0.0003039887,0.0003113357,0.0002393416,0.0003517198,0.0006906847,0.0007374374,0.0002478749,0.001028532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002055087,"about_ca_system_score_gemma":0.0002088327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008730573,"about_ca_topic_score_gemma":0.0009186762,"domain_scores_codex":[0.9993576,0.0001686568,0.00007070089,0.0001382557,0.0001962728,0.00006850912],"domain_scores_gemma":[0.9993849,0.0003051894,0.00007355912,0.00009258589,0.00008882135,0.00005494339],"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":[0.001733792,0.000385292,0.001818616,0.0004555999,0.0001024093,0.000766385,0.0009865949,0.01269947,0.5309756,0.004712782,0.001684061,0.4436793],"study_design_scores_gemma":[0.0007706173,0.01000505,0.03053624,0.0003519298,0.0006650645,0.008495992,0.0009870504,0.3482976,0.504575,0.004213967,0.09032568,0.0007758819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4376854,0.001407239,0.5415749,0.0002834366,0.0001271371,0.0003188283,0.0002256876,0.004840665,0.01353677],"genre_scores_gemma":[0.7869715,0.0005390132,0.1996688,0.000219279,0.00002959626,0.0002520072,0.0002361453,0.00009169128,0.01199188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004560809,"threshold_uncertainty_score":0.01525742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117298696985433,"score_gpt":0.2897718317874269,"score_spread":0.1724731348019939,"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."}}