{"id":"W2913556077","doi":"","title":"Proceedings of the 25th International Conference on World Wide Web","year":2016,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":635,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université TÉLUQ","funders":"","keywords":"Computer science; World Wide Web; Track (disk drive); Social media; Consistency (knowledge bases); Personalization; Phishing; Data science; The Internet","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":[0.0001092485,0.00004409397,0.00005521486,0.00006563845,0.00002444615,0.00005289393,0.001052359,0.000009419392,0.0001469665],"category_scores_gemma":[0.0000557365,0.00001935504,0.00003671341,0.0002120734,0.00003649,0.000223537,0.0002167281,0.00002936681,0.00004467749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001095667,"about_ca_system_score_gemma":0.00002765363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008111647,"about_ca_topic_score_gemma":0.00001810976,"domain_scores_codex":[0.9994785,0.000003864684,0.00009402289,0.0001508843,0.0002007171,0.0000719727],"domain_scores_gemma":[0.9996341,0.00002881054,0.00006041592,0.0001648582,0.00009054932,0.00002123664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001643425,0.0000206897,0.01311563,0.000001156561,0.00001555372,1.618894e-7,0.00004768137,3.216485e-7,0.009542132,0.9491502,0.02052411,0.007580735],"study_design_scores_gemma":[0.002666657,0.0002979051,0.1157865,0.001493259,0.00006402352,0.00001551105,0.0004010845,0.333118,0.3216697,0.04209876,0.1812377,0.001150932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1832229,0.000003929909,0.02780035,0.05151417,0.0005425395,0.00008312071,0.000017601,0.0001530804,0.7366623],"genre_scores_gemma":[0.9740925,0.00000366703,0.003468035,0.0003499244,0.0000217199,0.000001637431,1.613579e-7,0.000001412799,0.02206089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9070514,"threshold_uncertainty_score":0.1955562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0271719921717674,"score_gpt":0.2464222719911995,"score_spread":0.2192502798194321,"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."}}