{"id":"W4400482741","doi":"10.55016/ojs/cpai.v6i1.76905","title":"Coordinating for Academic Integrity at the Program Level","year":2023,"lang":"en","type":"article","venue":"Canadian Perspectives on Academic Integrity","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Academic integrity; Computer science; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05084945,0.0005311255,0.0007236997,0.004553554,0.04794455,0.02050137,0.005901055,0.005469721,0.01368713],"category_scores_gemma":[0.08925233,0.0006507256,0.0008405501,0.005709238,0.0201155,0.01232414,0.02176025,0.0122552,0.002419846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07157072,"about_ca_system_score_gemma":0.3431857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4144753,"about_ca_topic_score_gemma":0.5437368,"domain_scores_codex":[0.9279162,0.03012824,0.002284089,0.004222893,0.01872112,0.01672743],"domain_scores_gemma":[0.8597129,0.01837951,0.009860172,0.01062326,0.05001383,0.05141036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000720879,0.0003844902,0.02105391,0.0005696858,0.00006427793,0.000828251,0.2389354,0.00102482,0.001499141,0.3644468,0.1416386,0.2294824],"study_design_scores_gemma":[0.00003112619,0.0001666868,0.02256515,0.001153113,0.00005189467,0.0004725345,0.1815055,0.0010154,0.001795014,0.07271593,0.7183717,0.0001560615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06740113,0.001976955,0.04217741,0.3965685,0.001595363,0.001631247,0.0002233783,0.0008780182,0.487548],"genre_scores_gemma":[0.859019,0.002248103,0.03404272,0.0200359,0.0004607432,0.000597339,0.0001754905,0.0003177129,0.08310308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4144753,"threshold_uncertainty_score":0.8241255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1109914307514221,"score_gpt":0.3964862108797905,"score_spread":0.2854947801283684,"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."}}