{"id":"W6926098471","doi":"10.21227/fngq-er91","title":"Waterloo Streaming QoE Database 3","year":2020,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Generalizability theory; Streaming algorithm; Quality of experience; Adaptation (eye); Key (lock); Content delivery network; Distortion (music)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006833342,0.00119708,0.001214878,0.0004484638,0.0002067181,0.0002937138,0.003241035,0.0005170222,0.002443723],"category_scores_gemma":[0.0003153535,0.001173926,0.0002239952,0.0006564798,0.0002200852,0.000965657,0.0011821,0.001713329,0.23619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231617,"about_ca_system_score_gemma":0.0006355559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003770817,"about_ca_topic_score_gemma":0.001108139,"domain_scores_codex":[0.9938813,0.0001661687,0.001143018,0.002147468,0.001514394,0.001147605],"domain_scores_gemma":[0.9925679,0.00009919541,0.0007653437,0.00570302,0.0001223927,0.0007421555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007634157,0.0002043823,0.00001495567,0.0005211692,0.0002734535,0.004418911,0.00002004568,0.000003277008,0.001499701,0.000001113015,0.9928189,0.0001477715],"study_design_scores_gemma":[0.0005718545,0.00006754366,0.0000141373,0.0002824326,0.0006578576,0.0001504339,0.00003175927,0.00001683404,0.001223467,0.00000389268,0.9957065,0.001273308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006805601,0.00007035847,0.00001144745,0.00004022264,0.003328029,0.0006757841,0.9952526,0.0004542307,0.00009924628],"genre_scores_gemma":[0.000008430618,0.0001640908,0.0003007642,0.000642886,0.002314076,0.00009412587,0.9955682,0.0003291389,0.0005782527],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2337463,"threshold_uncertainty_score":0.9990711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04092214768178331,"score_gpt":0.293728514201702,"score_spread":0.2528063665199187,"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."}}