{"id":"W4400482650","doi":"10.55016/ojs/cpai.v1i2.54599","title":"Academic Integrity across the Canadian Landscape","year":2018,"lang":"en","type":"article","venue":"Canadian Perspectives on Academic Integrity","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geography; Academic integrity; Environmental resource management; Environmental science; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00376154,0.0002476965,0.0001998239,0.0003981285,0.005295869,0.0003663392,0.001300728,0.00111862,0.003358398],"category_scores_gemma":[0.008955318,0.0002042409,0.00009885309,0.001590851,0.002008544,0.000774135,0.00003338898,0.01362302,0.001600334],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004373339,"about_ca_system_score_gemma":0.02128379,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9876287,"about_ca_topic_score_gemma":0.9986102,"domain_scores_codex":[0.9967335,0.0006055305,0.0003511794,0.0005474737,0.0005148199,0.001247468],"domain_scores_gemma":[0.996443,0.0005088312,0.0001644288,0.0004515227,0.001065532,0.001366656],"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":[0.00001366739,0.00001194677,0.008964425,0.000001544406,0.00002545138,0.000003019202,0.1940091,3.175314e-7,0.000007158581,0.6210366,0.1737377,0.00218908],"study_design_scores_gemma":[0.0001059396,0.0000315682,0.01875069,0.0000248308,0.00001081909,0.000006178389,0.2098099,0.0000247213,0.00002363834,0.005644899,0.7653263,0.0002405248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1387974,0.0003089136,0.00001065859,0.4329864,0.001852013,0.0004834864,0.0002097027,0.00009565373,0.4252558],"genre_scores_gemma":[0.9690665,0.0002428355,0.00005400298,0.01993847,0.003064458,0.00004482059,0.00001652854,0.00002362002,0.007548779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8302691,"threshold_uncertainty_score":0.9994487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06921980362017723,"score_gpt":0.4196806919492226,"score_spread":0.3504608883290454,"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."}}