{"id":"W4224215955","doi":"10.1109/vr51125.2022.00011","title":"IEEE VR 2022 Paper Reviewers for Conference Papers","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)","topic":"Advanced Data and IoT Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004473604,0.000476031,0.0006073395,0.00014012,0.0004006151,0.0001312919,0.0007968094,0.0001710178,0.001588292],"category_scores_gemma":[0.0001818563,0.0004614491,0.0001162547,0.0002687029,0.0002647668,0.0004519771,0.0002634214,0.0008697927,0.00003730409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001590444,"about_ca_system_score_gemma":0.00006768888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004359945,"about_ca_topic_score_gemma":0.0001551456,"domain_scores_codex":[0.9975699,0.0001239686,0.0005534645,0.0007386907,0.0004252901,0.0005887115],"domain_scores_gemma":[0.9986021,0.0002421184,0.0001331798,0.0007800591,0.0000932959,0.0001492659],"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":[0.0009202484,0.0003540771,0.0001137304,0.0009071911,0.0005165965,0.00004700405,0.003796467,0.01692397,0.1642816,0.0674646,0.09099273,0.6536818],"study_design_scores_gemma":[0.001172447,0.001863566,0.0001139166,0.0002958362,0.000115425,0.00002025031,0.009417211,0.01947551,0.02375716,0.003388519,0.9389483,0.001431874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8134022,0.00775188,0.05697539,0.004911342,0.0146127,0.006050474,0.01292052,0.00514792,0.07822753],"genre_scores_gemma":[0.9887376,0.007474268,0.0002566417,0.0005993231,0.0000734488,0.0005545713,0.0001657325,0.00005917238,0.002079175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8479555,"threshold_uncertainty_score":0.9997837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05112280136756653,"score_gpt":0.2892783632593225,"score_spread":0.238155561891756,"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."}}