{"id":"W2941113575","doi":"10.1145/3290605.3300243","title":"TabletInVR","year":2019,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Human–computer interaction; Virtual reality; Interleaving; Affordance; Viewport; Vocabulary; Set (abstract data type); Software; Multimedia; Computer graphics (images); Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003115057,0.00003067396,0.00003427245,0.00002030397,0.00001332131,0.0000312025,0.0002621522,0.000009556768,0.000893333],"category_scores_gemma":[0.000003781642,0.00002401434,0.00002178025,0.00006684427,0.000002914539,0.0003108378,0.00007530361,0.00003036654,0.0082972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006613162,"about_ca_system_score_gemma":0.000008759343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001138554,"about_ca_topic_score_gemma":3.145119e-7,"domain_scores_codex":[0.999701,0.000006825541,0.00003494071,0.000109295,0.00005606352,0.00009190424],"domain_scores_gemma":[0.9997351,0.00001852033,0.0000105792,0.0001866819,0.0000320185,0.0000171637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001976598,0.00002154449,0.00389817,0.000002596677,0.000007644649,0.000002658538,0.0001529618,0.000005270163,0.144309,0.8226159,0.02794247,0.001039822],"study_design_scores_gemma":[0.0005911657,0.0002316266,0.04971382,0.00001689417,0.000002383422,0.00002380953,0.0002329229,0.02261235,0.4944837,0.003377612,0.428296,0.0004176645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03373923,0.000008209376,0.2224028,0.000688644,0.0004164505,0.00004716868,1.484452e-7,0.00001667018,0.7426807],"genre_scores_gemma":[0.9721251,6.891211e-7,0.002839177,0.002335788,0.00001163645,0.000001018564,3.724003e-7,0.000001477443,0.02268471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9383859,"threshold_uncertainty_score":0.992475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003295274428777807,"score_gpt":0.200302509963714,"score_spread":0.1970072355349362,"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."}}