{"id":"W4405704688","doi":"10.23977/trance.2024.060620","title":"The Impact of the Urban-Rural Education Gap on Basic Education Reform in China","year":2024,"lang":"en","type":"article","venue":"Transactions on Comparative Education","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"China; Economic growth; Political science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002554022,0.0001960192,0.000130392,0.0001859055,0.0004494079,0.00008924711,0.000298699,0.00006019292,0.0006944052],"category_scores_gemma":[0.00001952154,0.0001090735,0.0001537063,0.001540046,0.0001944538,0.0004627636,0.000006206862,0.000386156,0.0002509464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002561138,"about_ca_system_score_gemma":0.001874453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00375479,"about_ca_topic_score_gemma":0.000562878,"domain_scores_codex":[0.9987176,0.00009837496,0.0003961184,0.0002609213,0.0003280177,0.0001989744],"domain_scores_gemma":[0.9991751,0.0001245584,0.0001327146,0.000442936,0.00006375128,0.00006092064],"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":[0.0002595993,0.01484643,0.02019597,0.00006996888,0.0001693433,7.50376e-8,0.02571887,0.01820968,0.004512857,0.1661763,0.1447068,0.605134],"study_design_scores_gemma":[0.0001387346,0.0003292874,0.9576947,0.0003720729,0.00002765889,0.000007656266,0.007958454,0.001355817,0.002805305,0.01082406,0.01820184,0.0002844334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9164125,0.0001880454,0.0003243809,0.004129005,0.00336136,0.0007585749,0.0000112796,0.00002807139,0.07478676],"genre_scores_gemma":[0.9907759,0.00004826034,0.00008417547,0.000129267,0.0001797587,0.0004233531,0.00003594653,0.00001506148,0.008308234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9374987,"threshold_uncertainty_score":0.7603251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341883978004791,"score_gpt":0.3405646538735581,"score_spread":0.3171458140935102,"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."}}