{"id":"W2517032322","doi":"10.1145/2980523.2980526","title":"Viral marketing 2.0","year":2016,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Viral marketing; Heuristics; Scalability; Computer science; Social network (sociolinguistics); State (computer science); Data science; Diffusion; Social media; World Wide Web; Algorithm","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":[0.002971429,0.0014203,0.001209089,0.002905139,0.0009491302,0.007332969,0.002791827,0.002724459,0.1270802],"category_scores_gemma":[0.00863741,0.001008067,0.001319826,0.002792427,0.0005742473,0.005810168,0.003213804,0.00231105,0.1328201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046675,"about_ca_system_score_gemma":0.001535363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002499004,"about_ca_topic_score_gemma":0.001533353,"domain_scores_codex":[0.9981573,0.0004218243,0.00008828924,0.0002608187,0.0008837955,0.000187845],"domain_scores_gemma":[0.9967013,0.0009401625,0.0001873254,0.001095125,0.0006042269,0.0004718374],"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":[0.0003164284,0.0001920776,0.001777573,0.0007754031,0.0001456535,0.0002063397,0.0002692359,0.005049415,0.002558114,0.1479586,0.4862181,0.354533],"study_design_scores_gemma":[0.0000813212,0.00007365938,0.0008547822,0.0001874606,0.00003110341,0.0003645575,0.00005235735,0.02349198,0.001482306,0.0792314,0.894072,0.00007711615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005020139,0.01029618,0.255206,0.006407218,0.001948756,0.001504553,0.03319272,0.1820388,0.5043856],"genre_scores_gemma":[0.1175163,0.01737908,0.2724288,0.005067912,0.003314744,0.00297649,0.08492596,0.04151259,0.4548781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1270802,"threshold_uncertainty_score":0.4251256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006402298348024646,"score_gpt":0.2375549354557671,"score_spread":0.2311526371077424,"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."}}