{"id":"W2071931769","doi":"10.5539/ies.v8n4p122","title":"Matching University Graduates’ Competences with Employers’ Needs in Taiwan","year":2015,"lang":"en","type":"article","venue":"International Education Studies","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Notice; Job market; Unemployment; Matching (statistics); Psychology; Employability; Higher education; Medical education; Work (physics); Job analysis; Public relations; Pedagogy; Political science; Job satisfaction; Economic growth; Social psychology; Medicine; Economics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001962315,0.0001316281,0.0002108933,0.001272258,0.000797219,0.001078641,0.0003400352,0.0005280179,0.001336101],"category_scores_gemma":[0.006333752,0.000205353,0.00021421,0.0008670263,0.0005894611,0.0006073412,0.001379757,0.0005643336,0.0001257698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147589,"about_ca_system_score_gemma":0.002022569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123313,"about_ca_topic_score_gemma":0.02080644,"domain_scores_codex":[0.9988565,0.0003127769,0.0001075585,0.00008405248,0.0002644446,0.0003746363],"domain_scores_gemma":[0.9962873,0.0007421369,0.0009466781,0.00008130931,0.0004569185,0.001485626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004998335,0.0001606303,0.9758793,0.00003616622,0.00001206969,0.0004297273,0.01251901,0.0000966318,0.0006876262,0.0002554553,0.0003011721,0.00957212],"study_design_scores_gemma":[0.000005252145,0.00008444035,0.9790005,0.00002285313,0.000003086759,0.00009475883,0.01990157,0.000257962,0.0001123208,0.0001006181,0.0004098411,0.000006740571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994598,0.00003030733,0.00001040353,0.0001559974,0.000001669738,0.000002407874,0.000005849675,3.94234e-7,0.0003332218],"genre_scores_gemma":[0.9998288,0.0000224731,0.00001622057,0.0000181254,0.000001328093,0.000002664938,0.000009443837,3.070253e-7,0.000100563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0123313,"threshold_uncertainty_score":0.02451909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096282516908466,"score_gpt":0.4034003370390012,"score_spread":0.2937720853481546,"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."}}