{"id":"W3206508058","doi":"10.46328/ijres.2479","title":"Addressing Mismatch between TVET Programs and Skill Needs in the Finance and Banking Sector – A Case Study from Qatar","year":2021,"lang":"en","type":"article","venue":"International Journal of Research in Education and Science","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of the North Atlantic","funders":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg","keywords":"Government (linguistics); Context (archaeology); Human capital; Human resources; Business; Descriptive statistics; Public relations; Marketing; Economic growth; Management; Political science; Economics","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":[0.002336598,0.0003109752,0.0002979405,0.001075275,0.005596818,0.001763322,0.0007818066,0.001653451,0.003143216],"category_scores_gemma":[0.002504135,0.0003351989,0.0002518434,0.001314971,0.001632125,0.0009962787,0.001694054,0.001397453,0.0002910946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003369848,"about_ca_system_score_gemma":0.0037037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0292568,"about_ca_topic_score_gemma":0.06023121,"domain_scores_codex":[0.9987119,0.0005583251,0.00004609031,0.00007831506,0.000121437,0.0004839406],"domain_scores_gemma":[0.9980063,0.0009410914,0.0002641082,0.00005469587,0.0002863321,0.000447489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002306928,0.001733319,0.2357477,0.000590551,0.00003929821,0.05707552,0.6336616,0.001022438,0.00500619,0.007220069,0.00443264,0.05323997],"study_design_scores_gemma":[0.00001591632,0.0004197782,0.1133107,0.0002128751,0.00002228909,0.004672284,0.869729,0.000978725,0.0007844142,0.0005344036,0.009298241,0.00002145869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980951,0.0001052274,0.0001420202,0.0006494247,0.000006731299,0.00001721493,0.00001381605,0.000001925216,0.0009685009],"genre_scores_gemma":[0.9982388,0.0001814348,0.0003052513,0.000318793,0.00001049849,0.00001217091,0.00001744475,0.000002122568,0.000913467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0292568,"threshold_uncertainty_score":0.058173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2528540258057878,"score_gpt":0.5411540842286499,"score_spread":0.288300058422862,"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."}}