{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003886966,0.0002023039,0.0003625116,0.002244794,0.00839335,0.003133076,0.0008104452,0.0003728893,0.004360086],"category_scores_gemma":[0.001026657,0.0001983169,0.0002272441,0.005847615,0.00255086,0.000679407,0.002346708,0.0007618789,0.0002233789],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04268692,"about_ca_system_score_gemma":0.0793808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9754497,"about_ca_topic_score_gemma":0.9936034,"domain_scores_codex":[0.9984118,0.00007867286,0.000030409,0.0001380176,0.0002450301,0.001096109],"domain_scores_gemma":[0.9983224,0.00007539512,0.0001196886,0.00002345382,0.0002751936,0.001183885],"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":[0.0002884053,0.0003681479,0.7169351,0.0003159134,0.0000465848,0.002408899,0.08663505,0.0008469337,0.001776613,0.04203899,0.006464293,0.1418751],"study_design_scores_gemma":[0.00001447003,0.00005454786,0.8853327,0.0001627755,0.00001656382,0.0001889558,0.08311923,0.0004193005,0.0002432129,0.000752228,0.02966745,0.00002846539],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846192,0.0007957671,0.000113685,0.0009965989,0.00002167019,0.00002767574,0.0002636973,0.00001286443,0.01314878],"genre_scores_gemma":[0.9937876,0.0003362767,0.0001145762,0.00009137893,0.00000330601,0.000005983214,0.0001015398,0.000003367057,0.005555892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9573131,"threshold_uncertainty_score":0.3097167,"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."}}