{"id":"W4390812089","doi":"10.1145/3631418","title":"SurfShare","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Universitas Brawijaya","keywords":"Workspace; Computer science; Human–computer interaction; Desk; Virtual reality; Physical space; Virtual machine; Computer graphics (images); Operating system; Artificial intelligence; Robot","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001258074,0.001554881,0.0007993215,0.001343495,0.0007409108,0.002210716,0.002808275,0.001642149,0.1335154],"category_scores_gemma":[0.003055583,0.0007551879,0.00106016,0.0007238035,0.0005924349,0.003504965,0.005162312,0.001145112,0.0470781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004655626,"about_ca_system_score_gemma":0.001032805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001798813,"about_ca_topic_score_gemma":0.002557611,"domain_scores_codex":[0.9989707,0.0001447592,0.0000635484,0.0002498245,0.0004176816,0.0001534013],"domain_scores_gemma":[0.9985391,0.0002647696,0.00006991077,0.0005166022,0.000372106,0.0002375372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00238054,0.0002639036,0.002299865,0.001559053,0.0001353115,0.0007770329,0.001586059,0.002269429,0.04098995,0.02288521,0.3406498,0.5842037],"study_design_scores_gemma":[0.0002428442,0.000690217,0.003379771,0.0001855295,0.00009165877,0.00164109,0.0003259023,0.009407374,0.01804616,0.007214972,0.9585864,0.0001880361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03683063,0.003235758,0.3660993,0.001009077,0.001090017,0.001818632,0.01153012,0.2729886,0.3053978],"genre_scores_gemma":[0.2807197,0.002267261,0.260102,0.001738683,0.0004229478,0.001933015,0.03032267,0.02800531,0.3944884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1335154,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640609499786728,"score_gpt":0.2677687131605526,"score_spread":0.2513626181626853,"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."}}