{"id":"W2576618580","doi":"","title":"Graphical View of Blog Content Using B2G.","year":2015,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Microblogging; Content (measure theory); Social media; Multimedia; World Wide Web; Mathematics","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":[0.0001299465,0.000844131,0.0003107177,0.002626708,0.0003385523,0.00109853,0.0003237471,0.0006175982,0.07417414],"category_scores_gemma":[0.0007670201,0.0001967972,0.0003060111,0.002271667,0.0001676486,0.0005906907,0.0005362189,0.000711025,0.01068525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000228923,"about_ca_system_score_gemma":0.0004158013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00970606,"about_ca_topic_score_gemma":0.0159277,"domain_scores_codex":[0.9999278,0.000009516979,0.000004369174,0.00001685337,0.00002160256,0.00001984686],"domain_scores_gemma":[0.999423,0.0002266816,0.00004494217,0.00005918166,0.0001813757,0.00006488017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001573887,0.0001966722,0.003637107,0.002631115,0.0001087765,0.001461886,0.00104317,0.005235997,0.0538693,0.005899976,0.6853649,0.2389771],"study_design_scores_gemma":[0.0003811198,0.0004239033,0.06347671,0.001407823,0.0002369109,0.001603744,0.002582019,0.08326394,0.02426476,0.0137361,0.8084433,0.000179628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.068611,0.003657761,0.1355856,0.005039624,0.00568087,0.001214641,0.500964,0.1031582,0.1760883],"genre_scores_gemma":[0.4865574,0.005011465,0.2189776,0.002994135,0.001592643,0.001169627,0.1757473,0.0107118,0.09723794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07417414,"threshold_uncertainty_score":0.2481372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4270729361813214,"score_gpt":0.3803942316333476,"score_spread":0.04667870454797379,"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."}}