{"id":"W2238286065","doi":"10.47678/cjhe.v45i4.184771","title":"Special Consideration in Post-Secondary Institutions: Trends at a Canadian University","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Baycrest Hospital; University of Toronto","funders":"","keywords":"Aside; Point (geometry); Population; Psychology; Work (physics); Higher education; Special populations; Actuarial science; Demographic economics; Medical education; Demography; Sociology; Political science; Medicine; Law; Economics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006175317,0.00005617051,0.00008963259,0.0007999136,0.0004090337,0.00004922015,0.0001569161,0.0002706879,0.00307657],"category_scores_gemma":[0.0002345653,0.00006557163,0.00003339482,0.0003601525,0.0001715696,0.0005186697,0.000002942791,0.0005232684,0.00004599815],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004408484,"about_ca_system_score_gemma":0.07451337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8838524,"about_ca_topic_score_gemma":0.9972386,"domain_scores_codex":[0.9991922,0.0001921336,0.000167553,0.0000731418,0.000141871,0.0002331056],"domain_scores_gemma":[0.9983004,0.00003179586,0.0001033611,0.00005091763,0.0004237075,0.00108978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001659984,0.00001402575,0.02387892,0.00000157227,0.00001057426,0.00009768528,0.0286205,0.00001937256,0.000002721367,0.09090932,0.8492963,0.007132387],"study_design_scores_gemma":[0.0001715272,0.00001778745,0.0501114,0.00001672509,0.000009052842,0.00002855368,0.007290348,4.21342e-7,0.000001759028,0.001246358,0.9410363,0.00006980168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3108346,0.0009954581,0.000002911314,0.05454723,0.009192429,0.00008900364,0.00004982083,0.00000439154,0.6242842],"genre_scores_gemma":[0.9604639,0.00001886577,0.0001028595,0.001670573,0.003295235,3.08301e-7,0.00002544177,0.00000333295,0.03441942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6496294,"threshold_uncertainty_score":0.9994134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0438141151157772,"score_gpt":0.3012416647134775,"score_spread":0.2574275495977003,"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."}}