{"id":"W4394761723","doi":"10.1108/aeds-12-2023-0175","title":"Work integrated learning and trending areas for future studies: a systematic literature review and bibliometric analysis","year":2024,"lang":"en","type":"article","venue":"Asian Education and Development Studies","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Originality; Thematic analysis; Employability; Systematic review; Subject (documents); Scientific literature; Curriculum; Bibliometrics; Productivity; Field (mathematics); Scopus; Thematic map; Sociology; Social science; Library science; Political science; Geography; Pedagogy; Qualitative research; Computer science; Cartography; Economic growth","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.05217968,0.00179537,0.005979143,0.1527458,0.002638865,0.009936634,0.002335645,0.002040265,0.004179054],"category_scores_gemma":[0.1500443,0.001216475,0.005492446,0.1080487,0.002359406,0.01287094,0.004548527,0.001448353,0.0005682774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008792064,"about_ca_system_score_gemma":0.05218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005557109,"about_ca_topic_score_gemma":0.01256959,"domain_scores_codex":[0.9515713,0.01425462,0.01628112,0.003305168,0.01369349,0.0008943907],"domain_scores_gemma":[0.8359326,0.1021095,0.02963076,0.003672614,0.02686577,0.001788668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001913064,0.0001771877,0.02199991,0.5434795,0.003531658,0.0007267722,0.006144944,0.0008158012,0.0006019421,0.005277897,0.006818957,0.4102342],"study_design_scores_gemma":[0.0002461614,0.0006081076,0.04451196,0.8073358,0.02067543,0.00162104,0.02927466,0.001960182,0.001131455,0.008954179,0.08340161,0.0002794671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0392298,0.9194438,0.01002091,0.006023778,0.0008737188,0.01218553,0.006126705,0.0001955232,0.005900193],"genre_scores_gemma":[0.2147754,0.7161476,0.04357781,0.001377888,0.000668684,0.01794282,0.004565275,0.00005078474,0.0008936835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8472543,"threshold_uncertainty_score":0.2759558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04794542212935784,"score_gpt":0.4217566500485713,"score_spread":0.3738112279192135,"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."}}