{"id":"W4503277","doi":"10.1609/icwsm.v3i1.13983","title":"Information Cascades in the Blogosphere: A Look Behind the Curtain","year":2009,"lang":"en","type":"article","venue":"Proceedings of the International AAAI Conference on Web and Social Media","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Blogosphere; Subject (documents); Cascade; Population; Computer science; Information cascade; Event (particle physics); Data science; World Wide Web; Sociology; Engineering; Physics; Mathematics; The Internet; Statistics","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":[0.0003173261,0.00008765605,0.0001064166,0.00003471932,0.0001220019,0.0001378706,0.0005667429,0.0000292855,0.0000704811],"category_scores_gemma":[0.00003909048,0.00004632396,0.00006777441,0.00009546834,0.00009906264,0.0001858098,0.00005715119,0.0002125993,0.000002106996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001639917,"about_ca_system_score_gemma":0.00003319105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004617724,"about_ca_topic_score_gemma":0.0000323748,"domain_scores_codex":[0.9993008,0.00001176621,0.0002019449,0.00007051266,0.0003148663,0.0001001442],"domain_scores_gemma":[0.9994997,0.00009959515,0.0001832673,0.00004353645,0.0001625095,0.00001143683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002747387,0.00006807042,0.01173343,0.000003552953,0.00003820314,5.125659e-8,0.01909722,0.000001588887,0.0004706208,0.9084687,0.00426193,0.05582913],"study_design_scores_gemma":[0.0009710102,0.0001073067,0.1171046,0.000190491,0.0000963774,0.00000265323,0.04376617,0.006980283,0.002488849,0.8099605,0.01796082,0.0003709387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413953,0.00001087718,0.00001593929,0.0182481,0.00006278457,0.0001699781,0.00001220105,0.00001071499,0.04007407],"genre_scores_gemma":[0.9990992,0.0000114101,0.00003154753,0.0005249952,0.000258582,0.00001930261,0.000005790498,0.000002047258,0.00004711682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1053712,"threshold_uncertainty_score":0.1889036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493910200808891,"score_gpt":0.2540114590032154,"score_spread":0.2390723569951265,"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."}}