{"id":"W2987329996","doi":"10.5539/hes.v9n4p200","title":"How Can Be Academic Talent Measured During Higher Education Studies? - An Exploratory Study","year":2019,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Higher education; Psychology; Mathematics education; Talent management; Descriptive statistics; Sample (material); Exploratory research; Sociology; Pedagogy; Management; Social science; Political science; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004275184,0.0004583357,0.0005077854,0.0007195213,0.0005212298,0.0003505987,0.0004087962,0.00008301665,0.0003566736],"category_scores_gemma":[0.00002459266,0.0004147071,0.00009849668,0.0007413929,0.00009454944,0.001732703,0.0004218136,0.0002766322,0.0003600461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003382394,"about_ca_system_score_gemma":0.00009284469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006599704,"about_ca_topic_score_gemma":0.0001216078,"domain_scores_codex":[0.9975041,0.00007294984,0.0004617775,0.0007895662,0.000716113,0.0004554925],"domain_scores_gemma":[0.9977581,0.00003304407,0.0004692794,0.0006994149,0.000995877,0.00004427631],"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":[0.0001811046,0.006945682,0.6625708,0.003877304,0.003402272,0.00001156109,0.0174924,0.00008873094,0.00119764,0.05105735,0.2500205,0.00315463],"study_design_scores_gemma":[0.0008975101,0.00005569144,0.3106071,0.0002101589,0.000385933,4.52878e-7,0.1656244,0.000001289346,0.00002909106,0.0007303754,0.5208174,0.0006405598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705613,0.008728294,1.954012e-7,0.008149346,0.008057169,0.001248696,0.000001799479,0.0002613129,0.002991898],"genre_scores_gemma":[0.905553,0.000205262,0.00001194931,0.003334498,0.003641502,0.0008271434,0.00004416832,0.00006705961,0.08631539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3519637,"threshold_uncertainty_score":0.9998305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084590969687677,"score_gpt":0.3275301744422863,"score_spread":0.2190710774735187,"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."}}