{"id":"W2135689374","doi":"10.5430/ijhe.v4n2p81","title":"Active Learning for Creating Innovators: Employability Skills beyond Industrial Needs","year":2015,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Employability; Active learning (machine learning); Skills management; Higher education; Business; Medical education; Engineering; Public relations; Pedagogy; Psychology; Political science; Marketing; Computer science; Medicine","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":[0.001115041,0.0001251617,0.0001515766,0.0007144102,0.0000802089,0.0003366317,0.0003336547,0.00007041138,0.0002126106],"category_scores_gemma":[0.001276885,0.0001189015,0.00008853756,0.0003585638,0.0000260162,0.001532054,0.0000701354,0.000207063,0.00002005769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576263,"about_ca_system_score_gemma":0.0002906005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009202321,"about_ca_topic_score_gemma":0.000002963699,"domain_scores_codex":[0.9987427,0.00002833877,0.0004897065,0.0001265066,0.0004742344,0.0001385138],"domain_scores_gemma":[0.9964244,0.0001275969,0.000985726,0.00008539255,0.002350985,0.00002583684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001048708,0.001621643,0.43778,0.00008140707,0.000411775,0.000001961944,0.001539684,0.0004124245,0.0002968336,0.05457367,0.2821604,0.2200716],"study_design_scores_gemma":[0.001616658,0.00005601777,0.06265114,0.0001276154,0.000101739,0.000004687553,0.001600543,0.0000672693,0.0001100685,0.01705623,0.9163962,0.0002118344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943891,0.00004765427,0.0005169561,0.007800748,0.01665609,0.0002909112,0.000001316125,0.00004183047,0.03075346],"genre_scores_gemma":[0.9781474,0.000001959478,0.0006080642,0.001160104,0.01456023,0.00002350125,0.00007654574,0.00002062254,0.005401546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6342359,"threshold_uncertainty_score":0.4848662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02956789555055798,"score_gpt":0.3127684153048202,"score_spread":0.2832005197542622,"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."}}