{"id":"W2054736124","doi":"10.1117/12.2024134","title":"vPresent: A cloud based 3D virtual presentation environment for interactive product customization","year":2013,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Personalization; Cloud computing; Computer science; Presentation (obstetrics); Product (mathematics); Virtual machine; Human–computer interaction; World Wide Web; Operating system","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":[0.0004735848,0.000269152,0.0002904999,0.0001716105,0.0001040479,0.000301163,0.001216911,0.0001103624,0.00001015976],"category_scores_gemma":[0.0003021463,0.0002345063,0.0004208969,0.0003380809,0.0001193811,0.001258342,0.0002685484,0.0001700045,0.000001616586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001305238,"about_ca_system_score_gemma":0.00003398008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001475386,"about_ca_topic_score_gemma":6.450651e-8,"domain_scores_codex":[0.9979538,4.437576e-8,0.0006221265,0.0005066282,0.0006141296,0.0003032877],"domain_scores_gemma":[0.9975284,0.0001817586,0.0004610306,0.00009976345,0.001631835,0.00009720212],"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":[0.00005094826,0.0002557762,0.0001951382,0.0002516305,0.0002228348,2.206646e-8,0.0004106433,0.000795656,0.1106544,0.8742704,0.01080701,0.002085501],"study_design_scores_gemma":[0.0008126316,0.0003915167,0.0004710596,0.0001272268,0.00004493871,0.000002598038,0.0001776233,0.847266,0.1429723,0.002312907,0.005144181,0.0002770628],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8353605,0.00003123823,0.1597339,0.002316539,0.000337407,0.001747968,0.00002212743,0.000173771,0.0002765904],"genre_scores_gemma":[0.4721031,0.0000580748,0.525647,0.000219253,0.0005354052,0.001179166,0.00002978824,0.00005928521,0.000168846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8719575,"threshold_uncertainty_score":0.9562891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086148681927818,"score_gpt":0.2422584170747438,"score_spread":0.2313969302554656,"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."}}