{"id":"W2967722566","doi":"10.1007/s10805-019-09340-6","title":"Plagiarism Intervention Using a Game-Based Tutorial in an Online Distance Education Course","year":2019,"lang":"en","type":"article","venue":"Journal of Academic Ethics","topic":"Educational Games and Gamification","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"Korea Institute of Energy Research","keywords":"Mathematics education; Game Developer; Psychology; Significant difference; Intervention (counseling); Computer science; Multimedia; Game design; Medicine","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":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["research_integrity"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007827582,0.0007250351,0.0007356065,0.0006150772,0.001177381,0.0007776194,0.0008953128,0.001172459,0.008625883],"category_scores_gemma":[0.003372994,0.0002085764,0.0004928577,0.0001598898,0.0003956665,0.0006371311,0.001113158,0.001820914,0.001109258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006155892,"about_ca_system_score_gemma":0.001601682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009104013,"about_ca_topic_score_gemma":0.002229787,"domain_scores_codex":[0.9996085,0.0001103125,0.00002455179,0.00009566441,0.00005831759,0.000102795],"domain_scores_gemma":[0.9983727,0.0005910653,0.00009207102,0.00006318926,0.0001013679,0.0007795257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01883979,0.3653933,0.007567169,0.001354374,0.0002138191,0.00145107,0.004830409,0.00270251,0.01863698,0.00232974,0.0126946,0.5639862],"study_design_scores_gemma":[0.07001022,0.4008759,0.2641931,0.002822665,0.00275405,0.004573695,0.01630175,0.08353432,0.05343936,0.01853829,0.08223899,0.0007176192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873326,0.0001500417,0.003979917,0.0007447146,0.0002787377,0.00142689,0.000054138,0.000514826,0.005518225],"genre_scores_gemma":[0.978227,0.0002360608,0.01109197,0.0004686496,0.00009148666,0.001754555,0.00009070877,0.0000318514,0.00800772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9988275,"threshold_uncertainty_score":0.02885652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175963886097987,"score_gpt":0.4790997388643708,"score_spread":0.361503350254572,"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."}}