{"id":"W2801554343","doi":"10.1108/ils-10-2017-0105","title":"Addressing student plagiarism from the library learning commons","year":2018,"lang":"en","type":"article","venue":"Information and Learning Sciences","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Cheating; Originality; Academic integrity; Commons; Reputation; Best practice; Pedagogy; Psychology; Knowledge management; Engineering ethics; Sociology; Computer science; Political science; Engineering; Creativity","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":["research_integrity"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","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":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00292702,0.00007526173,0.00008104515,0.00006312404,0.00618126,0.001066655,0.0004149948,0.0002261444,0.0005543545],"category_scores_gemma":[0.001045644,0.00005144193,0.00002369682,0.0003369391,0.001518439,0.002722002,0.0001048323,0.00155938,0.0001793856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001345806,"about_ca_system_score_gemma":0.0001586748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020175,"about_ca_topic_score_gemma":0.0002297231,"domain_scores_codex":[0.9983256,0.0006116091,0.0002080478,0.0001034028,0.0005089312,0.0002424033],"domain_scores_gemma":[0.9986842,0.0009638729,0.0001715506,0.00005134662,0.00005471235,0.00007428935],"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":[0.00001136204,0.000008286992,0.224653,0.000003325046,0.00001328266,4.8031e-7,0.5933748,0.0002436771,0.00001277715,0.04741323,0.01285916,0.1214066],"study_design_scores_gemma":[0.00008565179,0.00004770587,0.02794486,0.00004721516,0.000005243207,9.356401e-7,0.1483722,0.002254022,0.0000222509,0.0008160821,0.8203073,0.00009658679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6884722,0.0002420545,0.0009432412,0.01494721,0.0004513892,0.0001289394,0.000002960006,0.0002079767,0.294604],"genre_scores_gemma":[0.9957598,0.0001492928,0.0004863783,0.002066499,0.0004337724,0.000002861586,0.000009777254,0.000002347276,0.001089279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8074481,"threshold_uncertainty_score":0.9999703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04724126962542325,"score_gpt":0.3405616358910759,"score_spread":0.2933203662656526,"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."}}