{"id":"W4410991644","doi":"10.55016/ojs/cpai.v8i2.80233","title":"Academic Integrity Policy and Support Provisions:","year":2025,"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":"Ontario Tech University; St. Lawrence College","funders":"","keywords":"Academic integrity; Research integrity; Data integrity; Business; Political science; Process management; Computer security; Computer science; Engineering ethics; Public relations; Engineering","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":[0.01997922,0.0002226334,0.0003215199,0.001756608,0.01369663,0.01662647,0.003277368,0.003091298,0.01097389],"category_scores_gemma":[0.08790044,0.0003254501,0.0002852007,0.00431377,0.007926178,0.005050087,0.006078804,0.003746734,0.002089526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04511609,"about_ca_system_score_gemma":0.2572043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6951401,"about_ca_topic_score_gemma":0.7312115,"domain_scores_codex":[0.967472,0.004103353,0.002158128,0.001779357,0.01756415,0.006923018],"domain_scores_gemma":[0.8888358,0.01840869,0.01871286,0.009888982,0.04155957,0.02259398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002272898,0.0006226823,0.1966221,0.001367374,0.00007319083,0.001918703,0.1798715,0.001359754,0.00683477,0.1680831,0.1343264,0.3086931],"study_design_scores_gemma":[0.00003806992,0.0001916745,0.1658996,0.0007636587,0.00005280528,0.0005048946,0.1079786,0.0005673321,0.003154853,0.005323639,0.7153916,0.0001332583],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4545249,0.001332682,0.007002897,0.11647,0.0004813991,0.00153869,0.001960835,0.0005922575,0.4160962],"genre_scores_gemma":[0.9540356,0.0005419508,0.002977712,0.005562791,0.0001060731,0.000176506,0.0005060419,0.00005034754,0.03604292],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9969087,"threshold_uncertainty_score":0.6133106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02734309158742046,"score_gpt":0.3592140596643458,"score_spread":0.3318709680769253,"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."}}