{"id":"W4235758332","doi":"10.1007/978-1-4939-7131-2_101206","title":"Social Spam","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","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":[0.0004405422,0.001071197,0.0004535135,0.002229325,0.001727974,0.003767197,0.0006288793,0.002212055,0.06603719],"category_scores_gemma":[0.001810331,0.0003005903,0.0003644061,0.00103877,0.001308838,0.004902372,0.002062164,0.001465848,0.05035813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000993342,"about_ca_system_score_gemma":0.0006243872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005898271,"about_ca_topic_score_gemma":0.001063694,"domain_scores_codex":[0.9995835,0.00009435486,0.00001052177,0.00006677381,0.0001901866,0.00005470374],"domain_scores_gemma":[0.9994677,0.000166752,0.00004092647,0.00009398768,0.0001657284,0.0000649705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001862528,0.00008160068,0.0004348578,0.0002370464,0.00001121325,0.0001168092,0.0006680565,0.0003351724,0.001173656,0.2512043,0.3785473,0.3671714],"study_design_scores_gemma":[0.000002896522,0.00001785639,0.0003766702,0.0001607811,0.000006791917,0.0004673397,0.000224573,0.00108003,0.0008790728,0.06746095,0.9293129,0.00001003709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003588718,0.009408708,0.01893699,0.00565118,0.002177758,0.00008847771,0.0002139735,0.0008629836,0.9590712],"genre_scores_gemma":[0.03927512,0.007871818,0.005271241,0.002660875,0.002665594,0.00008368734,0.0003809349,0.000269922,0.9415209],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06603719,"threshold_uncertainty_score":0.2209164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0319574058661146,"score_gpt":0.2419053372933879,"score_spread":0.2099479314272733,"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."}}