{"id":"W2907672252","doi":"10.1080/03075079.2018.1564258","title":"Cheaters on Twitter: an analysis of engagement approaches of contract cheating services","year":2019,"lang":"en","type":"article","venue":"Studies in Higher Education","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Social Innovation","funders":"","keywords":"Cheating; Outreach; Misconduct; Higher education; Academic integrity; Exploratory research; Subject (documents); Competition (biology); Public relations; Business; Sociology; Marketing; Computer science; Psychology; Political science; World Wide Web; Social psychology; Law","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":[0.001353667,0.00006802419,0.0002474224,0.0001830097,0.00007512601,0.000006436758,0.0001482204,0.0001202579,0.0001702716],"category_scores_gemma":[0.00004055937,0.0000599197,0.00004694418,0.0004470245,0.0001134362,0.0001244492,0.0000189543,0.000223707,0.000003232065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001206598,"about_ca_system_score_gemma":0.00005571911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003581396,"about_ca_topic_score_gemma":0.0003838209,"domain_scores_codex":[0.9989844,0.0002695341,0.0002438762,0.0001541923,0.000227513,0.0001204938],"domain_scores_gemma":[0.9993372,0.0002490997,0.0001759524,0.0001231906,0.00009453997,0.0000200338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002489548,0.0002607863,0.6094881,0.0001538058,0.0004666541,5.359364e-8,0.3575842,0.0003686796,0.0001893406,0.02932636,0.00007718743,0.002059953],"study_design_scores_gemma":[0.0001675405,0.00008265264,0.5505107,0.0001928485,0.0002966943,1.930722e-8,0.4440918,0.0002266496,0.0005898959,0.0008552132,0.002841093,0.0001448771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698105,0.0003700971,9.863796e-7,0.0009671409,0.0006198727,0.0001826447,0.000002530917,0.000008415585,0.02803778],"genre_scores_gemma":[0.9986576,0.0001221331,0.0001540765,0.00019926,0.0001126202,0.00001868003,0.00001341066,0.00000301216,0.0007191392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08650766,"threshold_uncertainty_score":0.5414023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1761263720992214,"score_gpt":0.4121821667997601,"score_spread":0.2360557947005386,"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."}}