{"id":"W4300871601","doi":"10.46692/9781447306214.011","title":"Knowledge mobilisation and education policy making in China","year":2013,"lang":"en","type":"other","venue":"","topic":"Global Educational Reforms and Inequalities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Policy making; Political science; Public administration","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":[0.003324185,0.000335432,0.0004316599,0.002931528,0.005484094,0.00679684,0.0009342626,0.001447238,0.004834445],"category_scores_gemma":[0.002556174,0.0001684747,0.0003308863,0.007839645,0.007633821,0.00459819,0.004175253,0.00130458,0.0001576339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03014083,"about_ca_system_score_gemma":0.03649029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06371658,"about_ca_topic_score_gemma":0.04806147,"domain_scores_codex":[0.9975281,0.0007634389,0.0001555608,0.0002522157,0.0005088183,0.0007919012],"domain_scores_gemma":[0.9988142,0.000469388,0.0001945807,0.00009683035,0.0001744225,0.0002505578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006117598,0.00006385474,0.01520592,0.0005145885,0.00004740107,0.0007704226,0.03360874,0.003961186,0.0003120968,0.8517813,0.008630591,0.08504274],"study_design_scores_gemma":[0.00007383062,0.0001969433,0.1156576,0.002077277,0.00008145569,0.0003023287,0.08300851,0.008576289,0.001379363,0.3526019,0.4358996,0.0001450008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.462696,0.02932279,0.002689557,0.1041481,0.0004470302,0.0002679913,0.0003526468,0.0001082279,0.3999676],"genre_scores_gemma":[0.983359,0.003436406,0.0005302031,0.0008705865,0.00004960821,0.00005372373,0.00006602865,0.000006057862,0.01162842],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06371658,"threshold_uncertainty_score":0.2186881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182292561213981,"score_gpt":0.3829208667184201,"score_spread":0.3610979411062802,"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."}}