{"id":"W7164896171","doi":"10.1080/17153379.2022.12558062","title":"Taiwan in Dynamic Transition: Nation Building and Democratization.","year":2022,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Hong Kong and Taiwan Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nation-building; Field (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007731661,0.0001063083,0.00007913102,0.000465339,0.002102542,0.003823152,0.0002481671,0.0007052775,0.006426769],"category_scores_gemma":[0.001146689,0.00006497015,0.0001141787,0.0006547319,0.004315925,0.002405485,0.00251226,0.0009454344,0.0002352253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003065866,"about_ca_system_score_gemma":0.005322987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02365174,"about_ca_topic_score_gemma":0.05069613,"domain_scores_codex":[0.9996204,0.0001505995,0.000007374094,0.00002248565,0.00001832441,0.0001807157],"domain_scores_gemma":[0.999498,0.0001044691,0.00006817361,0.00003780743,0.00004893191,0.0002426172],"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":[0.0001218933,0.0001125346,0.02941311,0.00009303019,0.00002556801,0.001034898,0.03374968,0.00099015,0.0005651124,0.8807856,0.01847762,0.0346309],"study_design_scores_gemma":[0.00008027907,0.0001669495,0.2155216,0.000530001,0.00006306875,0.0003272502,0.2463721,0.003463146,0.001413982,0.2421432,0.2898695,0.0000490007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6106874,0.003020761,0.0007478833,0.04095166,0.0001651715,0.00003345499,0.0001041021,0.00002660674,0.344263],"genre_scores_gemma":[0.9932215,0.0003513667,0.00004282168,0.0003240441,0.00001486689,0.000005918356,0.00001302843,0.000002459534,0.006023879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02365174,"threshold_uncertainty_score":0.04702818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135163821047681,"score_gpt":0.2600686104529386,"score_spread":0.2487169722424618,"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."}}