{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008473127,0.0001254114,0.0001149837,0.00006715282,0.0001125577,0.0001297038,0.0004796646,0.0002193296,0.001277681],"category_scores_gemma":[0.000003135362,0.0001153075,0.00008799632,0.00001840138,0.00003745858,0.0001251983,0.0001524732,0.0001456552,0.002669063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003075601,"about_ca_system_score_gemma":0.00003226259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009594658,"about_ca_topic_score_gemma":0.00001405026,"domain_scores_codex":[0.9993241,0.000004282932,0.00009997559,0.0002727674,0.0001916791,0.0001072056],"domain_scores_gemma":[0.9995621,0.0000140628,0.00006443662,0.0002708724,0.00005542726,0.0000331017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[8.621291e-7,0.000001645515,3.423755e-7,0.000003049895,0.00001083606,0.000003089696,0.0001441743,2.997191e-8,0.000004961317,0.8352684,0.1484109,0.01615167],"study_design_scores_gemma":[0.00003746661,0.00003852124,0.000007182338,0.000007316432,0.000004275242,0.000005663432,3.697339e-7,0.0002250968,0.00006553838,0.2248945,0.7745665,0.0001475283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002926918,0.00002161644,0.07564872,0.0004156748,0.0009213475,0.00004430975,6.596916e-7,0.0002737929,0.922671],"genre_scores_gemma":[0.001013005,0.000005700709,0.003040746,0.0004250516,0.001692507,0.000001160248,0.000002037608,0.00001415786,0.9938056],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6261556,"threshold_uncertainty_score":0.9996353,"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."}}