{"id":"W4251463052","doi":"10.1162/leon_a_01925","title":"<i>Body RemiXer</i>: Extending Bodies to Stimulate Social Connection in an Immersive Installation","year":2020,"lang":"en","type":"article","venue":"Leonardo","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Headset; Connection (principal bundle); Virtual reality; Human–computer interaction; Computer science; Psychology; Engineering; Telecommunications; Mechanical engineering","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":[0.0001272904,0.00009065441,0.0001202331,0.00008156039,0.000146009,0.00011467,0.000263755,0.00004939378,0.000008090449],"category_scores_gemma":[0.00006340924,0.00009784709,0.00002999146,0.0004131515,0.00001524299,0.0006415357,0.0001090411,0.00009609653,0.00005459135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006995138,"about_ca_system_score_gemma":0.00003356046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007140966,"about_ca_topic_score_gemma":0.00004931545,"domain_scores_codex":[0.9991131,0.00005036605,0.0001715984,0.0003077188,0.0001657104,0.0001914994],"domain_scores_gemma":[0.99957,0.00003176131,0.00005389246,0.0001560673,0.0000540215,0.0001342851],"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":[0.0001813697,0.0002419224,0.004188999,0.00005029603,0.00003524121,0.00003199666,0.072998,0.017893,0.2212684,0.3765296,0.002330086,0.3042511],"study_design_scores_gemma":[0.00219239,0.00157369,0.3753756,0.00007555732,0.00002251891,0.00001464427,0.007859415,0.5528753,0.01429014,0.01041525,0.0340082,0.001297318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5515422,0.00002171393,0.4118013,0.03414651,0.000108534,0.0003419716,0.000007653204,0.0001251422,0.001904997],"genre_scores_gemma":[0.9960593,0.000005594713,0.001678992,0.002103471,0.0001087566,0.00001234756,0.00001094906,0.000006380576,0.00001420543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5349823,"threshold_uncertainty_score":0.3990088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0494845471613847,"score_gpt":0.3126449137433749,"score_spread":0.2631603665819903,"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."}}