{"id":"W4377981389","doi":"10.1145/3592473.3592569","title":"iStream Player: A Versatile Video Player Framework","year":2023,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Dash; Dynamic Adaptive Streaming over HTTP; Multimedia; Video game; Obstacle; Field (mathematics); Simple (philosophy); Human–computer interaction; Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00104629,0.001015236,0.000474802,0.0009850229,0.0003977779,0.001781375,0.003249554,0.00114473,0.01234122],"category_scores_gemma":[0.002257048,0.000638984,0.0007573727,0.000336238,0.0006863617,0.002551912,0.002884882,0.00142328,0.005197427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006329387,"about_ca_system_score_gemma":0.0009741163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002082764,"about_ca_topic_score_gemma":0.002479043,"domain_scores_codex":[0.9993851,0.00008677525,0.00004644736,0.0001008342,0.0002742076,0.0001065378],"domain_scores_gemma":[0.9995853,0.0001163921,0.00002923983,0.00007450791,0.0001168821,0.00007772892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002868445,0.000592995,0.003673154,0.001570949,0.0002346465,0.002460992,0.001803093,0.02711055,0.124569,0.1531913,0.1815673,0.5003576],"study_design_scores_gemma":[0.0004649118,0.0005247426,0.001795102,0.0003111346,0.0001359301,0.002096797,0.0004417929,0.288338,0.09787643,0.03687955,0.5708479,0.000287707],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009082288,0.0005076049,0.874568,0.0002567435,0.000121996,0.000857177,0.001737668,0.09076591,0.02210262],"genre_scores_gemma":[0.2482441,0.001777263,0.645998,0.0009240119,0.0001494711,0.002635714,0.01173757,0.02119297,0.06734098],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01234122,"threshold_uncertainty_score":0.04128551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03019084674208811,"score_gpt":0.3178981237836719,"score_spread":0.2877072770415838,"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."}}