{"id":"W1974712447","doi":"10.1109/infcom.2013.6566732","title":"Video sharing propagation in social networks: Measurement, modeling, and analysis","year":2013,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Broadband; Process (computing); Broadband networks; Service (business); Event (particle physics); Multimedia; Diversity (politics); World Wide Web; Telecommunications; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002837115,0.0001017432,0.0002052675,0.0001774189,0.00009183182,0.0001132673,0.00009321756,0.00002418917,0.000553917],"category_scores_gemma":[0.000001771038,0.00009380287,0.00009421586,0.0006100087,0.0000125774,0.0001816824,0.000077257,0.00009043182,0.000004624468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000339903,"about_ca_system_score_gemma":0.000007183675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002369993,"about_ca_topic_score_gemma":0.0002966757,"domain_scores_codex":[0.9991581,0.00002771754,0.0002414069,0.0002429985,0.0001497283,0.000180045],"domain_scores_gemma":[0.9996745,0.000006605851,0.00005650856,0.0001270355,0.0001021628,0.00003318863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003587458,0.00008101224,0.8857062,0.0000042209,0.0006241667,1.353407e-7,0.0001863976,0.05705398,0.0001875703,0.02001083,0.001000254,0.03514166],"study_design_scores_gemma":[0.00009282964,0.000003672911,0.01444486,0.000004740732,0.0001337829,1.452666e-8,0.00006187579,0.9714037,0.00002394138,0.01370498,0.00001814858,0.0001074321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2404617,0.00003130798,0.7522735,0.00008653569,0.000005373299,0.0001907389,3.326931e-7,0.00005513389,0.006895325],"genre_scores_gemma":[0.9986191,0.000001773938,0.001021358,0.00002165463,0.0001521881,0.00007707872,0.00001831704,0.000007707681,0.00008083411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9143497,"threshold_uncertainty_score":0.6065003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02997316901507579,"score_gpt":0.2623670691848706,"score_spread":0.2323939001697948,"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."}}