{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.004404723,0.0004722085,0.0005471417,0.001562667,0.001710553,0.0001213752,0.001302041,0.004785585,0.0006123829],"category_scores_gemma":[0.01715408,0.0004675541,0.0001816904,0.001489853,0.001942273,0.0007891672,0.0001404075,0.02957318,0.0002334985],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004450184,"about_ca_system_score_gemma":0.01355996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4299066,"about_ca_topic_score_gemma":0.1118352,"domain_scores_codex":[0.9952947,0.0008776109,0.0006315073,0.00107087,0.0006527441,0.001472564],"domain_scores_gemma":[0.9965482,0.001057417,0.0001780308,0.00041861,0.0004866278,0.001311167],"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":[0.00004696795,0.00002135617,0.00393226,0.000018461,0.00004678463,0.00001227728,0.03018595,5.954682e-7,0.00004432437,0.9024321,0.05191002,0.01134892],"study_design_scores_gemma":[0.0004402868,0.00009032949,0.006770165,0.000354979,0.00004445689,0.00001382601,0.1011393,0.00007082357,0.0001416584,0.1155223,0.7747982,0.0006137339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06677736,0.00317513,0.0003338421,0.282934,0.001314207,0.001601485,0.0005252854,0.0004046106,0.6429341],"genre_scores_gemma":[0.9454457,0.007403713,0.0002361129,0.01946046,0.001396367,0.00006859558,0.00002676039,0.00003159382,0.02593073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8786683,"threshold_uncertainty_score":0.9997776,"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."}}