{"id":"W4394969608","doi":"10.1109/tvcg.2024.3369811","title":"IEEE VR 2024 Paper Reviewers","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University","keywords":"Computer science; Virtual reality; Computer graphics (images); Human–computer interaction; Multimedia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000217973,0.0002008638,0.0001676638,0.0003326342,0.0001934976,0.0006385557,0.0003101607,0.0000974236,0.00005935832],"category_scores_gemma":[0.000001226279,0.0001788075,0.0001336363,0.0008944591,0.00005436258,0.0006708114,0.000004721541,0.0002433285,0.00006879403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002106241,"about_ca_system_score_gemma":0.00003866929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001345439,"about_ca_topic_score_gemma":0.000007496328,"domain_scores_codex":[0.9986873,0.0000699139,0.0002757924,0.0004765432,0.0002877942,0.0002026734],"domain_scores_gemma":[0.9993913,0.00006845235,0.0000367936,0.0002892514,0.0001074757,0.0001066945],"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":[0.000004508194,0.00009928122,0.000002050454,0.0001651762,0.00007847522,0.00001931058,0.001088682,0.0002911013,0.00004010685,0.9179582,0.01146301,0.06879012],"study_design_scores_gemma":[0.0001290061,0.0001627326,0.00001190232,0.0002907869,0.00002552587,0.00003779698,0.000007832939,0.8837279,0.0008001851,0.001618952,0.1129417,0.0002456871],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004873611,0.0005271287,0.992332,0.0003408222,0.005336343,0.0001413288,0.000004822826,0.0004129401,0.0004172054],"genre_scores_gemma":[0.9774363,0.004253137,0.003582238,0.01096421,0.0003897558,0.00004254482,0.000005364603,0.00005585418,0.003270596],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9887498,"threshold_uncertainty_score":0.7291558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161597466943355,"score_gpt":0.2771231703392452,"score_spread":0.2609634236449097,"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."}}