{"id":"W2021042063","doi":"10.1145/2656203","title":"ALP","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Ottawa","funders":"","keywords":"Computer science; Videoconferencing; Network packet; Lossy compression; Video quality; Teleconference; Key (lock); Scheme (mathematics); Transmission (telecommunications); Computer network; Packet loss; Real-time computing; The Internet; Lossless compression; Multimedia; Data compression; Telecommunications; Computer security; Artificial intelligence","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":[0.0002782589,0.0001635789,0.0001601265,0.0002150662,0.0007695321,0.0001638212,0.003148459,0.00009184892,0.00000271206],"category_scores_gemma":[0.00006038744,0.0001586408,0.00005497238,0.00065738,0.0002166671,0.0002085643,0.0003078616,0.0003758628,0.00009282812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004153556,"about_ca_system_score_gemma":0.000070592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003341014,"about_ca_topic_score_gemma":0.000007351176,"domain_scores_codex":[0.9988334,0.00008901676,0.0002854937,0.0003773305,0.0001939666,0.000220808],"domain_scores_gemma":[0.9950671,0.0006258861,0.0001021098,0.003854688,0.0001645282,0.0001857064],"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":[0.000001541043,0.0002081344,0.00005501367,0.00000345808,0.00001625059,2.599683e-7,0.0004369717,0.0003474588,0.0001381927,0.01813958,0.0002814957,0.9803717],"study_design_scores_gemma":[0.001301673,0.0002158245,0.0005287238,0.00009162464,0.00004112073,0.00005963886,0.00108802,0.7246155,0.002619601,0.05380278,0.214899,0.0007364542],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005891768,0.0005115729,0.9877003,0.008439573,0.0000830927,0.0003111549,0.000005866469,0.00107201,0.001287288],"genre_scores_gemma":[0.5849727,0.0002665955,0.4142592,0.0002045061,0.00001891885,0.0001704166,0.000005374615,0.000009032114,0.00009322959],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9796352,"threshold_uncertainty_score":0.6469183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06707223740805249,"score_gpt":0.3135995999484574,"score_spread":0.2465273625404049,"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."}}