{"id":"W7164943597","doi":"10.1080/17153379.2023.12558336","title":"Useful Bullshit: Constitutions in Chinese Politics and Society.","year":2023,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Politics; Constitution; Government (linguistics); China","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":[0.002002724,0.0001636444,0.0001679992,0.001049402,0.00527536,0.00396568,0.0004469764,0.0009489806,0.009607147],"category_scores_gemma":[0.003084215,0.00009917116,0.0001431631,0.001557423,0.01153211,0.003395734,0.002624149,0.001239875,0.0002831598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006055871,"about_ca_system_score_gemma":0.007416717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05743731,"about_ca_topic_score_gemma":0.1092,"domain_scores_codex":[0.9992052,0.0003050126,0.00002172781,0.0000751719,0.0001432635,0.0002497306],"domain_scores_gemma":[0.9992398,0.0002352938,0.0001070625,0.00009099985,0.0001578523,0.000168994],"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":[0.00001685525,0.00001023151,0.003356053,0.00002034358,0.000005550092,0.00009709391,0.008525795,0.000164193,0.00009445974,0.9732328,0.00622071,0.008255946],"study_design_scores_gemma":[0.00005991616,0.00005954987,0.08359635,0.000203346,0.00008032592,0.00008283505,0.03216451,0.00208691,0.0008586601,0.6278334,0.2529241,0.0000500008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3372802,0.005045904,0.003833164,0.06442943,0.0003619767,0.00008238717,0.000306653,0.00007952923,0.5885807],"genre_scores_gemma":[0.9830711,0.0005230751,0.000158241,0.0007928733,0.00006118894,0.00001837423,0.00002189114,0.000006806939,0.01534643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05743731,"threshold_uncertainty_score":0.114206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249274109837305,"score_gpt":0.2728578319469285,"score_spread":0.2603650908485554,"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."}}