{"id":"W6903449936","doi":"10.11575/prism/35655","title":"Comparative Analysis of Institutional Policy Definitions of Plagiarism: A Pan-Canadian University Study","year":2017,"lang":"en","type":"other","venue":"University of Calgary","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Calgary","keywords":"Academic integrity; Narrative; Variation (astronomy); Academic dishonesty; Higher education; Institutional theory; Institutional change","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["research_integrity"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","research_integrity"],"domain":"methods","study_design":"design_other","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001644355,0.0002734505,0.001251208,0.006545542,0.0003130004,0.000004689011,0.0009470645,0.000402472,0.001641097],"category_scores_gemma":[0.00004136131,0.0003768498,0.0004620154,0.001484067,0.00160348,0.0001303242,0.0002230007,0.000324492,0.0001153766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006321681,"about_ca_system_score_gemma":0.003385049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7891021,"about_ca_topic_score_gemma":0.8620708,"domain_scores_codex":[0.9984689,0.0002567614,0.0001797209,0.000376204,0.0004687739,0.0002495827],"domain_scores_gemma":[0.9975525,0.00007864831,0.000997133,0.0007890746,0.0003317834,0.0002508974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001390086,0.006308471,0.090915,0.0004205674,0.08698041,0.001440135,0.02432806,0.0009595352,0.0002554653,0.2390803,0.5469213,0.001000653],"study_design_scores_gemma":[0.005256359,0.0004334525,0.4695642,0.0005223725,0.02202866,0.000004576987,0.01329612,0.0006424768,0.00002428755,0.0001269509,0.4870094,0.001091208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01492625,0.00006704054,0.0003153032,0.00002163361,0.0000364711,0.0005108646,0.01086713,0.00004471813,0.9732106],"genre_scores_gemma":[0.8815693,0.0001514056,0.001180051,0.00000855606,0.00002510819,1.037385e-7,0.0013134,0.0000739723,0.1156781],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8666431,"threshold_uncertainty_score":0.9998683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04343496197303819,"score_gpt":0.257815062354521,"score_spread":0.2143801003814828,"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."}}