{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004896515,0.000441973,0.0006558482,0.001070906,0.0004724183,0.0008137189,0.0005207924,0.0006699798,0.0007354792],"category_scores_gemma":[0.003905433,0.0001642484,0.0001874673,0.00108404,0.0002773434,0.000994234,0.0007248406,0.0004995005,0.0006431229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003970868,"about_ca_system_score_gemma":0.0002255653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006496275,"about_ca_topic_score_gemma":0.006998919,"domain_scores_codex":[0.9992545,0.0001546533,0.00005312205,0.0002203842,0.0001944904,0.0001227973],"domain_scores_gemma":[0.9978933,0.0009079947,0.0002914818,0.0002468491,0.0003972486,0.0002632945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001660062,0.0009470449,0.7885365,0.0005858628,0.0002618322,0.001295723,0.003794807,0.02740723,0.03605362,0.001583206,0.01423481,0.1236393],"study_design_scores_gemma":[0.0000580939,0.0006793617,0.7012363,0.00005038234,0.00009251217,0.001719706,0.003646509,0.2750386,0.008734444,0.001156125,0.007483098,0.0001049414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940442,0.0002274906,0.002079715,0.0001003106,0.00002026005,0.00005094847,0.002008034,0.0002627248,0.001206275],"genre_scores_gemma":[0.9962586,0.00007039391,0.001100165,0.00003116242,0.00001457957,0.00002162566,0.002103055,0.00001451813,0.0003860039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006496275,"threshold_uncertainty_score":0.01291692,"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."}}