{"id":"W2898239423","doi":"10.31767/su.2(77).2017.02.09","title":"Statistical Reporting in Vocational Education: Review and Ways of Improving","year":2017,"lang":"en","type":"article","venue":"Statistics of Ukraine","topic":"Labor Market and Education","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocational education; Quality (philosophy); Typology; Quarter (Canadian coin); Business; Statistical analysis; Marketing; Economics; Economic growth; Sociology; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008983191,0.00006020288,0.0003003543,0.00007022043,0.00005285138,0.0000181926,0.0001042844,0.00002996932,0.0002055449],"category_scores_gemma":[0.00526631,0.00006964939,0.00001361718,0.00004501981,0.0001031757,0.0001025525,0.00002782827,0.00007043163,0.000003281972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002205534,"about_ca_system_score_gemma":0.0001118686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004175039,"about_ca_topic_score_gemma":0.0000320779,"domain_scores_codex":[0.9986615,0.000006636802,0.00104753,0.0001571004,0.00003173144,0.00009556143],"domain_scores_gemma":[0.9974543,0.00009493047,0.002028976,0.0002734983,0.0001179495,0.0000303897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004477199,0.00008257486,0.1022922,0.001685668,0.00001180974,0.000001290935,0.0002145111,2.930607e-7,0.0000160218,0.8567178,0.006214407,0.03275904],"study_design_scores_gemma":[0.0001750111,0.00003525163,0.8685126,0.0001784542,0.00001692063,0.000003795239,0.0000262142,0.0002022246,0.00001873873,0.1267869,0.003931624,0.0001123091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2199716,0.09214356,0.3435954,0.07750598,0.003810314,0.003266045,0.01000235,0.00005962088,0.2496451],"genre_scores_gemma":[0.9365228,0.001723772,0.06089607,0.0004592281,0.00006728643,0.00001498661,0.0001054338,0.00000954201,0.0002008888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7662205,"threshold_uncertainty_score":0.6304646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07262685867676692,"score_gpt":0.3059146477043919,"score_spread":0.2332877890276249,"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."}}