{"id":"W4402104837","doi":"10.55016/ojs/jet.v52i3.69721","title":"Designing and Implementing an Online Academic Integrity Tutorial: Identifying the Challenges within a Post-secondary Context","year":2019,"lang":"en","type":"article","venue":"Journal of educational thought.","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Academic integrity; Context (archaeology); Computer science; Research integrity; Medical education; Data science; Psychology; World Wide Web; Engineering ethics; Medicine; Engineering; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.03112654,0.0004547689,0.0004671733,0.00122442,0.008083244,0.007937942,0.003008548,0.002526879,0.004166679],"category_scores_gemma":[0.06553998,0.0005097288,0.0004339303,0.0005391137,0.003007607,0.005856684,0.006518354,0.003849837,0.0019427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003841558,"about_ca_system_score_gemma":0.02219463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003615974,"about_ca_topic_score_gemma":0.01341427,"domain_scores_codex":[0.9838163,0.009609907,0.0006707037,0.001007676,0.002460899,0.002434539],"domain_scores_gemma":[0.9273525,0.02501329,0.006077023,0.004576721,0.01769778,0.01928271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002619335,0.01283663,0.08097152,0.001365883,0.00004907379,0.003123753,0.3364275,0.001926576,0.01614628,0.009174708,0.02067566,0.5170405],"study_design_scores_gemma":[0.0001881739,0.00803591,0.08621936,0.003060653,0.0001600155,0.004039203,0.4959022,0.01111102,0.03221054,0.01071865,0.3478958,0.0004583156],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8933318,0.0004426592,0.06039155,0.01040202,0.0004276145,0.002808793,0.00006985163,0.001231733,0.03089398],"genre_scores_gemma":[0.8885242,0.0004881787,0.09549075,0.002170221,0.0001035824,0.0009933679,0.0001075809,0.0002020177,0.01192017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9974731,"threshold_uncertainty_score":0.1646149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038552949733274,"score_gpt":0.3954515743742331,"score_spread":0.2915962794009057,"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."}}