{"id":"W2886152067","doi":"10.1145/3219751","title":"Characterizing User Behaviors in Mobile Personal Livecast","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Scalability; Cloud computing; Upload; Server; Transcoding; Multimedia; Mobile device; Computer network; World Wide Web","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":[0.0003406094,0.000177421,0.000180652,0.0002523214,0.0009427956,0.0001842757,0.001627443,0.00007867874,0.00002172273],"category_scores_gemma":[0.00001188711,0.0001926892,0.00006387916,0.0006722453,0.0003040456,0.0003561938,0.0001815398,0.0003941976,0.00008780807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006977505,"about_ca_system_score_gemma":0.00006848213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001117191,"about_ca_topic_score_gemma":0.0001037261,"domain_scores_codex":[0.9985717,0.0001444213,0.0003945734,0.0004328333,0.0001735819,0.0002829125],"domain_scores_gemma":[0.9969903,0.0005763184,0.000116378,0.002060564,0.0001411193,0.0001153828],"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":[0.000004062887,0.0009509966,0.0006134502,0.00001242863,0.000021651,7.898462e-7,0.007763612,0.00002396244,0.003567927,0.002224536,0.000021702,0.9847949],"study_design_scores_gemma":[0.002527161,0.0007393882,0.03896728,0.0003475832,0.0001011154,0.00008573765,0.004903455,0.796984,0.007181838,0.001410659,0.145103,0.001648823],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03114082,0.0001646039,0.9646705,0.00270353,0.00008188239,0.0007036342,0.00001909111,0.0002091514,0.000306805],"genre_scores_gemma":[0.7816092,0.0002283871,0.2172155,0.0003843338,0.00005663959,0.0004160221,0.00001767626,0.00001266121,0.0000595839],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9831461,"threshold_uncertainty_score":0.785764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03799316208511552,"score_gpt":0.3409239619227826,"score_spread":0.302930799837667,"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."}}