{"id":"W4237116693","doi":"10.32920/ryerson.14651712","title":"Xstreamulator: a rich media webcasting application for lectures and events","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Webcast; Computer science; Bitmap; Multimedia; Video Graphics Array; World Wide Web; Process (computing); Operating system; Computer graphics (images); Software","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003977153,0.0001068952,0.0001806193,0.00007832808,0.0002828743,0.00004904688,0.0003801643,0.0004186387,0.00008315234],"category_scores_gemma":[0.000945228,0.000108061,0.00004819722,0.0001028399,0.0001228861,0.00003034494,0.0004447534,0.0002593948,0.000003435128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005746549,"about_ca_system_score_gemma":0.0002264517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001536819,"about_ca_topic_score_gemma":0.008565688,"domain_scores_codex":[0.9990886,0.0001027045,0.0001821707,0.0003014382,0.0001525919,0.0001725337],"domain_scores_gemma":[0.9987336,0.0005146769,0.0001362193,0.000406606,0.0001408766,0.00006803886],"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":[0.00001880652,0.00024634,0.03625482,0.0002348958,0.0001817964,8.014641e-7,0.04391068,0.00004564678,0.0008811533,0.1297279,0.001423173,0.787074],"study_design_scores_gemma":[0.003514563,0.00006722937,0.04909061,0.0005338542,0.0004689596,0.000008123391,0.05918537,0.0516172,0.004676096,0.3480405,0.4797635,0.003033968],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7409596,0.005592415,0.1492146,0.03241081,0.001795751,0.00552241,0.00006621078,0.001774636,0.0626636],"genre_scores_gemma":[0.9746635,0.0005201114,0.02391272,0.000119699,0.0001292909,0.0003362095,0.0001090034,0.00001068911,0.0001987948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.78404,"threshold_uncertainty_score":0.4779854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0488096091820765,"score_gpt":0.3698462537099864,"score_spread":0.3210366445279099,"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."}}