{"id":"W4234408137","doi":"10.4018/978-1-5225-8057-7.ch010","title":"Embedding Plagiarism Detection Mechanisms Into Learning Management Systems","year":2019,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Plagiarism detection; Computer science; Architecture; Set (abstract data type); Embedding; Intellectual property; Learning Management; Software engineering; Service (business); Plug-in; Software; Multimedia; Artificial intelligence; Operating system; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00149299,0.0004552743,0.0005251993,0.0001454034,0.0009231473,0.0002815785,0.0005877805,0.003690121,0.0001050599],"category_scores_gemma":[0.0000662695,0.0004949787,0.0002477352,0.00003546557,0.0001522122,0.0001201455,0.0002109369,0.003201962,0.001310723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303269,"about_ca_system_score_gemma":0.0002230902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003990054,"about_ca_topic_score_gemma":0.0007470829,"domain_scores_codex":[0.9969088,0.0001975001,0.0004943746,0.0006563049,0.001145861,0.0005972009],"domain_scores_gemma":[0.998791,0.0001092064,0.0004442208,0.0002948563,0.0001563327,0.0002043225],"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":[0.00002110736,0.000002651585,0.000001539915,0.000104907,0.0001482602,0.00004156653,0.001395021,0.0001866976,0.0000177577,0.9877638,0.0007085791,0.009608103],"study_design_scores_gemma":[0.0001962358,0.00006348172,9.574743e-7,0.0005908856,0.0001596412,0.00001303648,0.002516018,0.000592225,0.00002332494,0.4928457,0.5024018,0.0005966731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003767219,0.0003485085,0.02791737,0.00006419348,0.003775215,0.0008606978,0.00001323222,0.0003566298,0.9666265],"genre_scores_gemma":[0.3025136,0.0000807139,0.0005164579,0.0002206557,0.000904111,0.00002287743,0.0000072717,0.00005625029,0.6956781],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5016932,"threshold_uncertainty_score":0.9997502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428956271793918,"score_gpt":0.2701244565869876,"score_spread":0.2558348938690484,"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."}}