{"id":"W7045330846","doi":"","title":"Aligning higher education with industry expectations: Preparing students for the workforce","year":2025,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Higher education; Quality (philosophy); Engineering education; Workforce development; Science education","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008651418,0.0002324108,0.0002972349,0.0007883924,0.008287705,0.009558248,0.001106635,0.001532829,0.003589978],"category_scores_gemma":[0.01478557,0.0002764925,0.0003078208,0.0008955076,0.003973704,0.003435721,0.006711501,0.003665839,0.0009615578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005948706,"about_ca_system_score_gemma":0.02333442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01645301,"about_ca_topic_score_gemma":0.03622074,"domain_scores_codex":[0.9937761,0.0024222,0.0001564042,0.0002552535,0.00145997,0.001930096],"domain_scores_gemma":[0.9865016,0.001905905,0.001499875,0.0003607182,0.001994186,0.007737758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009920557,0.001357634,0.2342903,0.0003380954,0.00002159549,0.0007877813,0.556795,0.0003489641,0.005540506,0.0225941,0.02489707,0.1529298],"study_design_scores_gemma":[0.00001912525,0.0004354649,0.1347562,0.0003304736,0.00001073694,0.0002011696,0.7825269,0.0004835067,0.001617937,0.00922989,0.07028405,0.0001046189],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.946895,0.0003286237,0.002019915,0.02661324,0.0001872511,0.0001080921,0.00004710207,0.00003379218,0.02376696],"genre_scores_gemma":[0.993039,0.000273945,0.001636984,0.002260188,0.00002419439,0.00006291932,0.00003371312,0.00001048139,0.00265872],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01645301,"threshold_uncertainty_score":0.04575366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203702733078721,"score_gpt":0.3892807153799794,"score_spread":0.2689104420721073,"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."}}