{"id":"W4413821455","doi":"10.47678/cjhe.v55i3.190479","title":"How Can Post-Secondary Institutions Support Transfer Students? Lessons from Ontario","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Higher Education Learning Practices","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Higher education; Technology transfer; Political science; Mathematics education; Pedagogy; Sociology; Business; Psychology","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":[0.0004418529,0.0001146745,0.0001693185,0.0004043042,0.0007971361,0.0006798704,0.0005622889,0.0001284846,0.005818876],"category_scores_gemma":[0.0001867697,0.0001247083,0.00008985301,0.0004103528,0.0002252191,0.0008746025,0.000005839189,0.0005410295,0.00002864153],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877684,"about_ca_system_score_gemma":0.09818949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7200047,"about_ca_topic_score_gemma":0.9645982,"domain_scores_codex":[0.9986752,0.00024971,0.0002909543,0.0001655428,0.000315976,0.0003025993],"domain_scores_gemma":[0.998236,0.0001208226,0.000160475,0.0001805175,0.0006738131,0.0006283618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002147067,0.0003537839,0.515523,0.00001635646,0.0003144059,0.00002455285,0.1809052,0.00001549095,0.0001809474,0.08205798,0.2110509,0.009535886],"study_design_scores_gemma":[0.0001209751,0.00001730151,0.3550211,0.00003313677,0.00006796409,0.000001929427,0.006278714,5.209931e-9,0.0000152019,0.0004525204,0.6379166,0.00007456083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7558432,0.0009677005,0.00003558014,0.203011,0.009601526,0.000154981,0.00003013628,0.00001149258,0.03034443],"genre_scores_gemma":[0.8094894,0.00001637378,0.000188288,0.002400612,0.0005166046,0.000008763484,0.00003394364,0.000007676253,0.1873383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4268656,"threshold_uncertainty_score":0.9950899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085647463916131,"score_gpt":0.3830321759897795,"score_spread":0.3421757013506181,"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."}}