{"id":"W1522677197","doi":"","title":"The Development of Preschool Education Achievements, Problems and Policy Recommendations of Tibet","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"China's Ethnic Minorities and Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yearbook; Government (linguistics); Ethnic group; Economic growth; Preschool education; National education; Political science; Quality (philosophy); Rural area; Mathematics education; Sociology; Pedagogy; Psychology; Economics; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001699422,0.0002875145,0.0001860002,0.002009725,0.001498884,0.001739919,0.0006952503,0.0003427276,0.004963682],"category_scores_gemma":[0.001754411,0.0001276738,0.0001634074,0.003440742,0.0004913386,0.001124169,0.001238769,0.0006022358,0.0002785619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006523794,"about_ca_system_score_gemma":0.01726437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2209293,"about_ca_topic_score_gemma":0.2367944,"domain_scores_codex":[0.9993466,0.0001356681,0.00005793113,0.0000495897,0.00008033535,0.0003300223],"domain_scores_gemma":[0.9993559,0.00006528246,0.000083888,0.00001946726,0.0001823116,0.0002932344],"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":[0.0004793622,0.0003212726,0.5225002,0.001713933,0.00007369753,0.002782624,0.02350799,0.002576528,0.003738785,0.1068083,0.01435947,0.3211378],"study_design_scores_gemma":[0.00003652717,0.0001500137,0.884606,0.0008112112,0.00003612525,0.0002971473,0.03332114,0.001791623,0.0007872039,0.00611994,0.07199475,0.00004840412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9130161,0.01063961,0.001140414,0.01204198,0.0001823888,0.00009396421,0.002064088,0.0001319534,0.06068935],"genre_scores_gemma":[0.983795,0.00332971,0.001253507,0.0002353982,0.00002188033,0.00004627341,0.001103698,0.00001067563,0.01020375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2209293,"threshold_uncertainty_score":0.4392866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04709153173555995,"score_gpt":0.3472666621489681,"score_spread":0.3001751304134081,"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."}}