{"id":"W2737100252","doi":"10.5430/ijhe.v6n4p69","title":"An Exploration of Progression Rates of Widening Participation Students on to an Integrated Master of Engineering","year":2017,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apprenticeship; Vocational education; Workforce; Higher education; Institution; White paper; Engineering education; Political science; Medical education; Pedagogy; Engineering; Sociology; Engineering management; Medicine; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007249483,0.00006778308,0.0001497848,0.0003004375,0.0000701695,0.0001039821,0.0005297255,0.00004868984,0.00007724579],"category_scores_gemma":[0.0002644586,0.00005987854,0.00004302496,0.00008722238,0.00004329717,0.001627619,0.00001558365,0.00006571924,0.000002151726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009837897,"about_ca_system_score_gemma":0.0003076319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006621168,"about_ca_topic_score_gemma":0.00005286069,"domain_scores_codex":[0.9984645,0.0001269673,0.0005640641,0.00008224222,0.0006857406,0.00007647719],"domain_scores_gemma":[0.9968289,0.00005181921,0.001263227,0.0001622106,0.001596882,0.00009692855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000464487,0.002826334,0.7221872,0.00005828247,0.0001807133,9.915788e-7,0.1255807,0.002871537,0.03962094,0.04340683,0.0006411919,0.06216088],"study_design_scores_gemma":[0.0004428615,0.0006342708,0.9537176,0.001109314,0.00002979273,0.000001029747,0.007882047,0.00006263214,0.02895104,0.0005922167,0.006452173,0.0001250087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951896,0.00002346036,0.000522504,0.001381094,0.002448273,0.0001324113,0.000003987109,0.000003799976,0.0002948526],"genre_scores_gemma":[0.9977983,0.000009976368,0.001178547,0.00003551606,0.0007447171,0.00001068639,0.000008957367,0.000007801701,0.0002055347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2315304,"threshold_uncertainty_score":0.2441776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1272843237756404,"score_gpt":0.5238544252581879,"score_spread":0.3965701014825475,"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."}}