{"id":"W4382135499","doi":"10.3390/electronics12132794","title":"Physically Plausible Realistic Grip-Lift Interaction Based on Hand Kinematics in VR","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation of Korea; Hanyang University","keywords":"Kinematics; Virtual reality; Lift (data mining); Embodied cognition; Human–computer interaction; Computer science; Interaction design; Simulation; Artificial intelligence; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003837048,0.0001313624,0.0001824224,0.0002538197,0.00007532928,0.0001626345,0.0003125262,0.00006591717,0.000009815759],"category_scores_gemma":[0.000117906,0.0001219697,0.00004980068,0.001077481,0.00001408354,0.000173,0.00004258437,0.0002746736,0.0004315677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001577314,"about_ca_system_score_gemma":0.0001681842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001237302,"about_ca_topic_score_gemma":0.0002442992,"domain_scores_codex":[0.9986414,0.0001096026,0.0002522546,0.0002971537,0.0003235809,0.0003760216],"domain_scores_gemma":[0.9991669,0.0003100763,0.00009334515,0.00030937,0.000061952,0.00005837449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003355763,0.002353106,0.001603748,0.001126092,0.0001965952,0.0004510181,0.007724707,0.2361036,0.05027051,0.2572944,0.05728781,0.3852528],"study_design_scores_gemma":[0.0007173123,0.0003823839,0.00111455,0.0002351942,0.000006921924,0.00001094884,0.00002648338,0.9502423,0.005650997,0.005495887,0.03584246,0.0002744992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1726656,0.0002774209,0.7908185,0.006981814,0.00225961,0.001418841,0.00002108979,0.001484844,0.02407231],"genre_scores_gemma":[0.9975823,0.00002831012,0.001383196,0.0003985274,0.0001388443,0.00005149302,0.00003176214,0.00001658399,0.0003689591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8249168,"threshold_uncertainty_score":0.5547073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106194487948228,"score_gpt":0.2793039391393435,"score_spread":0.2582419942598613,"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."}}