{"id":"W4405328538","doi":"10.1108/et-05-2024-0227","title":"Examining the employability benefits of international case competitions","year":2024,"lang":"en","type":"article","venue":"Education + Training","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Employability; Business; Sociology; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009688074,0.0003404383,0.0003355874,0.001926539,0.001542033,0.002484581,0.0009182041,0.0005839362,0.007242776],"category_scores_gemma":[0.05904938,0.0001815415,0.0003321043,0.001328619,0.001140068,0.001867746,0.003564221,0.001116016,0.0003898208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652961,"about_ca_system_score_gemma":0.001662313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670219,"about_ca_topic_score_gemma":0.004498869,"domain_scores_codex":[0.9946111,0.002491783,0.0002884069,0.0003684711,0.001327675,0.0009124962],"domain_scores_gemma":[0.92977,0.03909463,0.01456114,0.002874028,0.004629065,0.009071116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003572436,0.003476139,0.8480521,0.0002807675,0.00006951267,0.000348118,0.01231262,0.00128116,0.001172557,0.003754404,0.001792359,0.127103],"study_design_scores_gemma":[0.00002720222,0.0007922032,0.9719386,0.0001519641,0.00002414727,0.0001849862,0.01842549,0.002174213,0.0004897928,0.002292193,0.003467095,0.0000321054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937272,0.00007336121,0.0004255443,0.0002271217,0.000008301771,0.00004244935,0.00005585808,0.000005715352,0.005434395],"genre_scores_gemma":[0.9992411,0.00003423288,0.0002451938,0.00002295465,0.000007677123,0.0000264898,0.00005461053,0.000001848962,0.0003659895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009688074,"threshold_uncertainty_score":0.05123609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1327087983271165,"score_gpt":0.3978663831868167,"score_spread":0.2651575848597001,"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."}}