{"id":"W2486103257","doi":"10.1145/2912845.2912849","title":"Characterizing Users in an Online Classified Ad Network","year":2016,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Dissemination; World Wide Web; Social network (sociolinguistics); Internet privacy; Information flow; Social media; Information retrieval; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009208794,0.0004532659,0.0005193502,0.003359317,0.000834675,0.00130859,0.0007352186,0.0009837431,0.001070279],"category_scores_gemma":[0.005377223,0.0002107657,0.0002410371,0.002003169,0.0005002598,0.002824127,0.0008167233,0.0005030631,0.0006905257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009134628,"about_ca_system_score_gemma":0.0003917685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005590569,"about_ca_topic_score_gemma":0.005797289,"domain_scores_codex":[0.9985169,0.0004599761,0.00009667144,0.000339897,0.0003904068,0.0001961414],"domain_scores_gemma":[0.9967952,0.001219154,0.0006349362,0.0003463937,0.0007457997,0.0002585383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001137677,0.0008460903,0.7003916,0.000350936,0.0001967165,0.001207896,0.004469972,0.05195158,0.01591789,0.0173931,0.01107697,0.1950597],"study_design_scores_gemma":[0.00002579476,0.0002815076,0.1404659,0.00008665366,0.0001123675,0.001659163,0.004646028,0.8066711,0.009384966,0.02337449,0.01322697,0.00006497702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944118,0.0003580124,0.04676529,0.0006748448,0.00004030507,0.0001770717,0.001722887,0.0002160959,0.005927505],"genre_scores_gemma":[0.9850398,0.0002567414,0.01147453,0.0001022627,0.00006194204,0.00007252955,0.001199383,0.00001444916,0.001778372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005590569,"threshold_uncertainty_score":0.01111603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05590447489307073,"score_gpt":0.257871463214954,"score_spread":0.2019669883218833,"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."}}