{"id":"W2993369859","doi":"10.5430/ijhe.v9n1p142","title":"A Comparative Study of the Engineering Soft Skills Required by Moroccan Job Market","year":2019,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Employability; Soft skills; Interview; Job market; Curriculum; Exploratory research; Medical education; Order (exchange); Engineering; Psychology; Engineering management; Knowledge management; Business; Pedagogy; Computer science; Mechanical engineering; Medicine; Sociology; Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005329459,0.00007877934,0.0001616321,0.0001000841,0.00005864076,0.00005436712,0.0005931637,0.00004042466,0.001458571],"category_scores_gemma":[0.00009842987,0.00006124663,0.00008125161,0.0002006001,0.00005544098,0.00027909,0.00002932702,0.0001409556,0.00001490745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003012847,"about_ca_system_score_gemma":0.0005612629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005742482,"about_ca_topic_score_gemma":0.0000649131,"domain_scores_codex":[0.9984491,0.0002119865,0.0004154058,0.0001041474,0.0007156158,0.0001037086],"domain_scores_gemma":[0.9983439,0.0001694319,0.0004362387,0.0001430283,0.000835495,0.00007185047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008238095,0.003576507,0.8206574,0.00001123163,0.0002893112,3.854445e-7,0.07180887,0.0003418377,0.002056688,0.002596036,0.09735648,0.001222896],"study_design_scores_gemma":[0.0005142581,0.00009603724,0.8717366,0.00007045988,0.00002773501,0.000002787419,0.006690563,0.000008270858,0.000258721,0.0005251075,0.1199629,0.000106523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839551,0.0001000674,0.000009849147,0.003403196,0.007404182,0.0002347577,0.000003926786,0.000007217881,0.004881653],"genre_scores_gemma":[0.9849675,0.000006301629,0.00009784982,0.000150008,0.000461989,0.00000682136,0.000001384877,0.000006036277,0.01430216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06511831,"threshold_uncertainty_score":0.9994543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640375225792518,"score_gpt":0.3616878171264752,"score_spread":0.3452840648685501,"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."}}