{"id":"W4406265834","doi":"10.1109/ismar62088.2024.00061","title":"Object Speed Control with a Signed Distance Field for Distant Mid-Air Object Manipulation in Virtual Reality","year":2024,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Concordia University","funders":"","keywords":"Object (grammar); Virtual reality; Computer science; Computer vision; Virtual image; Field (mathematics); Computer graphics (images); Signed distance function; Artificial intelligence; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005485276,0.0002014646,0.0002720249,0.000120279,0.00007303006,0.0001995309,0.0004144898,0.00007945139,0.000005143148],"category_scores_gemma":[0.0001089739,0.0001530985,0.00006980085,0.0005044023,0.00003042028,0.0004322734,0.00004531242,0.0001505994,0.00001064147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375156,"about_ca_system_score_gemma":0.00013754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002606735,"about_ca_topic_score_gemma":0.0002347039,"domain_scores_codex":[0.9982646,0.00008338058,0.0003357362,0.0006287487,0.0003128331,0.0003746866],"domain_scores_gemma":[0.9985314,0.0008123849,0.00006089628,0.0004632384,0.00005448116,0.00007759965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001988331,0.0007315816,0.01435734,0.0008965619,0.0004651826,0.002096637,0.01100241,0.3591194,0.007163988,0.5149906,0.009759849,0.07742814],"study_design_scores_gemma":[0.001062849,0.0005106078,0.003960087,0.0001730322,0.00001361269,0.00001847849,0.00006627088,0.9898251,0.001280463,0.002445488,0.0003602176,0.0002837862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002432103,0.00008131994,0.9930762,0.001533262,0.0004764214,0.0006377133,0.00001635755,0.000392632,0.00135401],"genre_scores_gemma":[0.9649945,0.000001168246,0.03403288,0.0002778522,0.00007926695,0.00004594951,0.00001329565,0.00001500861,0.0005400389],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9625624,"threshold_uncertainty_score":0.6243175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122609946422102,"score_gpt":0.274266446170239,"score_spread":0.253040346706018,"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."}}