{"id":"W4285051411","doi":"10.54884/s181570410020909-4","title":"Primary vocational education in the digital space of secondary schools in Canada and China","year":2020,"lang":"en","type":"article","venue":"Man and Education","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocational education; China; Context (archaeology); Space (punctuation); Political science; Sociology; Economic growth; Pedagogy; Geography; Computer science; Economics","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":[0.00009028766,0.00005315645,0.00005937421,0.00006722832,0.00003131611,0.00006645381,0.0001491672,0.00001513145,0.000005037332],"category_scores_gemma":[0.00001879797,0.00004637692,0.000005226233,0.0002928205,0.00001585811,0.0003214392,0.00003013118,0.0001094491,7.800072e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007508694,"about_ca_system_score_gemma":0.00490535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05418467,"about_ca_topic_score_gemma":0.03988127,"domain_scores_codex":[0.9995162,0.00002117036,0.0001467214,0.0001436247,0.0001084696,0.00006383679],"domain_scores_gemma":[0.9997267,0.00003867131,0.00005427832,0.0001050136,0.00004250292,0.00003289155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000004310615,0.0002640569,0.09572609,0.0001263903,0.000004030753,2.304286e-7,0.006230865,0.000007119375,0.00005959686,0.1215456,0.01160337,0.7644284],"study_design_scores_gemma":[0.00006220577,0.0000117834,0.9888535,0.0000223146,7.490558e-7,0.000004568131,0.004803819,0.00013295,0.00001574129,0.003964811,0.002074852,0.00005271156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369023,0.0006716564,0.0001205177,0.0571963,0.0001191267,0.0001041462,0.000002728946,0.000003165425,0.004880048],"genre_scores_gemma":[0.9970813,0.00005762406,0.001020521,0.001655726,0.0000634482,0.00002157661,0.00003424322,0.000002141743,0.00006336073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8931274,"threshold_uncertainty_score":0.9776384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009887028532334086,"score_gpt":0.220983638231374,"score_spread":0.2110966096990399,"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."}}