{"id":"W1996646676","doi":"10.3828/idpr.2014.12","title":"China's pre-reform urban transformation: the case of Hangzhou during the Cultural Revolution (1966-1976)","year":2014,"lang":"en","type":"article","venue":"International Development Planning Review","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"China; Cultural revolution; Transformation (genetics); Political science; Economic geography; Geography; Economy; Economic system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005914245,0.0002151262,0.0002099405,0.0008720472,0.00663855,0.002706313,0.0006263452,0.0008866464,0.001669078],"category_scores_gemma":[0.0007095832,0.0001865836,0.0002578542,0.002952666,0.00550684,0.000917953,0.002341618,0.000772804,0.00009822465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02210898,"about_ca_system_score_gemma":0.007911704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3646661,"about_ca_topic_score_gemma":0.5355434,"domain_scores_codex":[0.9993464,0.0001357934,0.00001540871,0.00004593274,0.00006597059,0.0003904357],"domain_scores_gemma":[0.9997427,0.00006083752,0.0000645209,0.00003107815,0.0000239763,0.00007691448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003972514,0.0001918339,0.197269,0.000308527,0.0001147904,0.03222667,0.4259767,0.005619917,0.003259231,0.2674424,0.009395265,0.05779834],"study_design_scores_gemma":[0.00008299987,0.0002138109,0.5857497,0.0001739003,0.0001211055,0.001256908,0.2333061,0.002355308,0.001896547,0.01180026,0.1629506,0.00009271888],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846219,0.0006456343,0.0000664671,0.001376512,0.0000120101,0.00001386921,0.00003580813,0.000004933472,0.01322303],"genre_scores_gemma":[0.9976379,0.0002580492,0.0000241619,0.00006179062,0.000005456413,0.000004841218,0.00002271082,0.000001312167,0.001983806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3646661,"threshold_uncertainty_score":0.7250869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485304906457686,"score_gpt":0.307091651650057,"score_spread":0.2922386025854801,"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."}}