{"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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002290647,0.0001039845,0.0001893139,0.0001966982,0.00002439937,0.00002096757,0.0002609512,0.0007024616,0.0001654088],"category_scores_gemma":[0.0003153117,0.0001016787,0.00008863943,0.0002097725,0.00005312207,0.0003182474,0.000009461479,0.003553842,0.00001701269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000239757,"about_ca_system_score_gemma":0.001006888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007315668,"about_ca_topic_score_gemma":0.00003817738,"domain_scores_codex":[0.9981317,0.0004197836,0.0007549305,0.0001678298,0.0003721736,0.000153571],"domain_scores_gemma":[0.9980308,0.000347144,0.0008848261,0.0001895227,0.0004606395,0.0000870969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002586787,0.009295627,0.7021155,0.0004458401,0.0001716838,0.0000138096,0.06572813,0.009187279,0.01995934,0.1239498,0.003968015,0.06257814],"study_design_scores_gemma":[0.005092376,0.000949555,0.8922944,0.002427601,0.0001850374,0.0001506314,0.02214158,0.007277788,0.0002461213,0.01664856,0.05201985,0.000566473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840257,0.001182994,0.00309497,0.004768163,0.006674553,0.0001490215,0.000008322826,0.000006902494,0.00008940751],"genre_scores_gemma":[0.9953969,0.00005887268,0.001483008,0.0008783454,0.00169913,0.000003006634,0.00003561549,0.00001738864,0.0004277831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1901789,"threshold_uncertainty_score":0.998745,"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."}}