{"id":"W7023889461","doi":"","title":"Plagiarism detection software and academic integrity :\\nthe canadian perspective","year":2005,"lang":"en","type":"article","venue":"E-LIS Repository (University of Naples Federico II)","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Academic integrity; Plagiarism detection; Academic dishonesty; Academic institution; Work (physics); Software; Perspective (graphical); Institution; Service (business)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["research_integrity"],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":["research_integrity"],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0006838424,0.0001622241,0.0002449382,0.0002015436,0.003603362,0.00005489354,0.0004738678,0.001381844,0.0002079984],"category_scores_gemma":[0.0003851873,0.0002005559,0.0001086215,0.0003515281,0.0007032777,0.0007895492,0.0001204606,0.00267443,0.00002476387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191634,"about_ca_system_score_gemma":0.0008175175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6528223,"about_ca_topic_score_gemma":0.4890625,"domain_scores_codex":[0.9983861,0.00030017,0.0001596474,0.0003700417,0.0003847833,0.0003992528],"domain_scores_gemma":[0.9987997,0.0001762232,0.0001828802,0.0001533053,0.0003083581,0.0003795294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004680728,0.0002345942,0.02488344,0.00008658235,0.0004953429,0.0001824999,0.7657446,0.00005150411,0.009382044,0.05641868,0.04249144,0.09956125],"study_design_scores_gemma":[0.0005684276,0.0001454567,0.01796553,0.00009546494,0.000120374,0.00006127154,0.3228078,0.0003640699,0.001869585,0.002197912,0.6532149,0.000589284],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8980857,0.001410795,0.003200413,0.01102362,0.0006833636,0.0004142611,0.00004348023,0.0002417364,0.08489669],"genre_scores_gemma":[0.9893307,0.0005213656,0.001964046,0.0001686189,0.0004154858,4.900923e-7,0.000003936431,0.00001001991,0.007585324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6107234,"threshold_uncertainty_score":0.9999146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581698572582044,"score_gpt":0.2432584707279217,"score_spread":0.2274414850021013,"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."}}