{"id":"W1491422701","doi":"","title":"Avoiding the Plagiarism Pitfall: Preventing Plagiarism in Undergraduate Research","year":2009,"lang":"en","type":"article","venue":"","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Plagiarism detection; Worry; Cheating; Work (physics); Process (computing); Academic integrity; Computer science; Engineering ethics; Internet privacy; Medical education; Psychology; Engineering; Medicine; Social psychology","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":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","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":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.05286687,0.001206805,0.001210443,0.007145793,0.0100474,0.007701158,0.004498899,0.005002358,0.004249167],"category_scores_gemma":[0.2635756,0.00128082,0.0006445057,0.003356724,0.005188613,0.01336539,0.01134329,0.005430079,0.004081732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002703509,"about_ca_system_score_gemma":0.0132947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001623615,"about_ca_topic_score_gemma":0.002544334,"domain_scores_codex":[0.9575269,0.02154551,0.00355049,0.003671129,0.0122906,0.001415324],"domain_scores_gemma":[0.7066032,0.1274807,0.05622856,0.05377182,0.04091898,0.01499679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004954645,0.001160825,0.03925725,0.001868232,0.0001200091,0.0009263098,0.03336553,0.001397365,0.01076011,0.01055165,0.03072123,0.869376],"study_design_scores_gemma":[0.001472602,0.00842262,0.2374361,0.00820368,0.001302926,0.02569815,0.05854622,0.05502068,0.09187092,0.1808086,0.3298596,0.001357921],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4626133,0.01244191,0.3676868,0.08451448,0.001473043,0.004360356,0.000219585,0.01046354,0.05622705],"genre_scores_gemma":[0.8073345,0.001870307,0.1780601,0.003493037,0.000750789,0.0007377557,0.0001711472,0.0004960283,0.007086347],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9949976,"threshold_uncertainty_score":0.2795901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06893632038766458,"score_gpt":0.3967930270592775,"score_spread":0.3278567066716129,"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."}}