{"id":"W4220801845","doi":"10.1145/3490100.3516476","title":"Integrating in-hand physical objects in mixed reality interactions","year":2022,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Human–computer interaction; Computer science; Gesture; Headset; Mixed reality; Modalities; Virtual reality; Augmented reality; Context (archaeology); Multimedia; Artificial intelligence","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":[0.001317458,0.001630993,0.0008237605,0.0006995604,0.0004123485,0.002936754,0.001593057,0.001502307,0.006972622],"category_scores_gemma":[0.002871818,0.0007328211,0.000949119,0.0002799648,0.000804553,0.001944637,0.003550226,0.0005916359,0.00206022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002741787,"about_ca_system_score_gemma":0.0003362247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007245395,"about_ca_topic_score_gemma":0.001042365,"domain_scores_codex":[0.9979627,0.000682687,0.0001103932,0.0002800137,0.0007427889,0.0002214001],"domain_scores_gemma":[0.9987701,0.0006322439,0.00009617129,0.0002387642,0.0001601016,0.0001026091],"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":[0.001147472,0.000576285,0.002496574,0.001226878,0.0003000417,0.001765192,0.005479084,0.02074157,0.5595842,0.01097198,0.001536176,0.3941744],"study_design_scores_gemma":[0.0002597272,0.005618249,0.01518556,0.0004975398,0.0007866133,0.005754439,0.002566914,0.2786191,0.5647823,0.01230787,0.1129122,0.0007094601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07243014,0.0005474597,0.9174713,0.0001166868,0.00009518706,0.0002081205,0.00006331664,0.002408412,0.006659339],"genre_scores_gemma":[0.5622059,0.0006250894,0.4237291,0.0002208764,0.0000449162,0.0003393925,0.0001927156,0.0003708298,0.01227113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006972622,"threshold_uncertainty_score":0.02332568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083441855661407,"score_gpt":0.2993770285809041,"score_spread":0.26854261002429,"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."}}