{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006618191,0.0008519686,0.0004783474,0.001245561,0.0004362893,0.001217276,0.001493135,0.0007725754,0.03500483],"category_scores_gemma":[0.001665355,0.0005547318,0.0005116613,0.0005264038,0.0001626739,0.001413543,0.001804995,0.001432616,0.01806214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003477674,"about_ca_system_score_gemma":0.000751305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00116661,"about_ca_topic_score_gemma":0.001604892,"domain_scores_codex":[0.9996445,0.000048758,0.00003050337,0.00004710345,0.0001839553,0.00004506996],"domain_scores_gemma":[0.9994349,0.0001514943,0.00004675286,0.0001073431,0.000121706,0.0001378278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00114504,0.0005513983,0.001728354,0.00081958,0.00006601075,0.0008381049,0.0006773756,0.003773044,0.1055394,0.009675255,0.3191524,0.556034],"study_design_scores_gemma":[0.0004996816,0.000388212,0.008106662,0.0002716481,0.0001121505,0.001214899,0.0001650768,0.08153229,0.118395,0.004689365,0.7843891,0.0002360973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.01951297,0.0006695494,0.4342861,0.0002521334,0.0004106302,0.001134767,0.005954545,0.4792309,0.05854839],"genre_scores_gemma":[0.2119368,0.002487781,0.4436302,0.001185039,0.0007576333,0.001848771,0.03866827,0.0484778,0.2510075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03500483,"threshold_uncertainty_score":0.1171028,"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."}}