{"id":"W1489557032","doi":"10.3386/w13849","title":"The Higher Educational Transformation of China and Its Global Implications","year":2008,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Transformation (genetics); China; Geography; Chemistry; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008452237,0.0004283473,0.0002702706,0.001531102,0.002330127,0.002941757,0.0004453411,0.0008189096,0.008085554],"category_scores_gemma":[0.001004872,0.0001404217,0.0004159588,0.00440191,0.003056016,0.002617728,0.002401263,0.001457985,0.0003885879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008489235,"about_ca_system_score_gemma":0.008724748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06659977,"about_ca_topic_score_gemma":0.07422467,"domain_scores_codex":[0.9991647,0.000122494,0.00002897918,0.00009437777,0.0002071237,0.0003823423],"domain_scores_gemma":[0.9994106,0.00006528573,0.0001170232,0.00004815755,0.0001262691,0.0002326985],"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":[0.000309918,0.0001981919,0.1509964,0.001465141,0.0001471191,0.006021576,0.01822085,0.006957626,0.00396124,0.386268,0.04957323,0.3758806],"study_design_scores_gemma":[0.00003654598,0.0002185539,0.6242508,0.0004903686,0.0000446681,0.0008203066,0.01658126,0.002297839,0.001342601,0.04334467,0.3104625,0.000109967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6436096,0.03173608,0.001821265,0.1172975,0.001526402,0.0001092007,0.001628987,0.0002756137,0.2019953],"genre_scores_gemma":[0.9829753,0.00702763,0.0003230436,0.003011012,0.0002345169,0.00001697722,0.0002242908,0.00001290096,0.006174311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06659977,"threshold_uncertainty_score":0.1324242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2032812546847813,"score_gpt":0.523235852813078,"score_spread":0.3199545981282968,"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."}}