{"id":"W6930608952","doi":"10.5281/zenodo.15200127","title":"Leveraging Artificial Intelligence to Optimize Video Streaming Performance","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"melanin and skin pigmentation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Video streaming; Bandwidth (computing); Quality (philosophy); Key (lock); Transformative learning; Quality of experience; Artificial neural network","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":[0.0008309718,0.0006690584,0.0004222089,0.0005323754,0.000204564,0.001027691,0.0005747445,0.0005972835,0.001089454],"category_scores_gemma":[0.001920589,0.00019181,0.0002196327,0.0003875343,0.0003719871,0.0005845384,0.0004491035,0.0005482318,0.000257848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000579943,"about_ca_system_score_gemma":0.0006256334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001810213,"about_ca_topic_score_gemma":0.001483288,"domain_scores_codex":[0.9996647,0.00008107706,0.0000231246,0.00006737132,0.0001113974,0.00005232712],"domain_scores_gemma":[0.9990956,0.0004896945,0.0001235237,0.00005618106,0.000189213,0.00004584437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001531,0.0002727291,0.002176343,0.00008635657,0.00007134934,0.00007631516,0.00003878293,0.8567835,0.0228728,0.002225233,0.0009924114,0.1142512],"study_design_scores_gemma":[0.000006653306,0.00004379246,0.0001711183,0.00000247606,0.00000794617,0.000007296308,0.000004618519,0.9965653,0.002183177,0.000741909,0.0002628443,0.000002872313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4072178,0.001218576,0.5683963,0.0008082989,0.0002008931,0.0002379492,0.0001272497,0.002149627,0.01964331],"genre_scores_gemma":[0.9571862,0.0001392988,0.04123448,0.0000806582,0.00003705134,0.00003976378,0.00005689389,0.00004684666,0.001178861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001810213,"threshold_uncertainty_score":0.00439471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259854527296122,"score_gpt":0.2716188220068732,"score_spread":0.239020276733912,"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."}}