{"id":"W2510983903","doi":"10.47678/cjhe.v46i2.184418","title":"Postsecondary Student Mobility from College to University: Academic Performance of Students","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Higher education; Postsecondary education; Academic advising; Medical education; Multivariate analysis; Mathematics education; Psychology; Academic achievement; Cohort; University campus; Multivariate statistics; Transfer (computing); Political science; Medicine; Computer science; Statistics; Mathematics; Library science","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":[0.0006248755,0.00007331601,0.0001655466,0.0003527909,0.0002720713,0.00001927949,0.0006826645,0.00006761276,0.001631371],"category_scores_gemma":[0.0001114531,0.00006193267,0.00004630007,0.0004068729,0.0002332781,0.0003429147,0.00002624168,0.0001443339,0.00004443892],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362029,"about_ca_system_score_gemma":0.007554726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01443939,"about_ca_topic_score_gemma":0.01451143,"domain_scores_codex":[0.9986565,0.0001798783,0.0002695525,0.0001253538,0.0005037055,0.0002650213],"domain_scores_gemma":[0.9979883,0.0001500235,0.0001945747,0.0001445452,0.0007487679,0.0007737454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002694911,0.00007833725,0.9328609,0.000005427602,0.00005131201,0.000002249026,0.01156367,9.109814e-7,0.0003138246,0.0008587717,0.05287403,0.001363658],"study_design_scores_gemma":[0.0001283697,0.00005406593,0.6484467,0.00007167752,0.00001141496,3.063506e-7,0.005292344,8.100868e-9,0.00007597652,0.00009303626,0.3457773,0.00004876745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835025,0.0006323364,0.000001374296,0.01172981,0.00180718,0.0002039509,0.00006106303,0.000003386068,0.002058421],"genre_scores_gemma":[0.9719756,0.0001441731,0.00009808873,0.0002584539,0.0003980159,0.000002312156,0.000001023305,0.000005649945,0.0271167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2929033,"threshold_uncertainty_score":0.9992813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970700387408213,"score_gpt":0.3690019090778443,"score_spread":0.3492949052037622,"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."}}