{"id":"W399938111","doi":"","title":"China's Quest for Asia","year":2005,"lang":"en","type":"article","venue":"Policy review","topic":"International Development and Aid","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Superpower; Refugee; Population; Political science; Geography; Economic growth; Development economics; Law; Demography; Sociology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007304727,0.0008516788,0.0003980573,0.0007711598,0.006094852,0.006836023,0.0006817101,0.002411563,0.03505712],"category_scores_gemma":[0.001088441,0.0002155014,0.0003487199,0.0009893789,0.002632221,0.003946512,0.004135164,0.004808458,0.005347842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003648423,"about_ca_system_score_gemma":0.01137823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02530131,"about_ca_topic_score_gemma":0.04668759,"domain_scores_codex":[0.9994912,0.00005633413,0.00001529489,0.00008517216,0.0001214057,0.0002305615],"domain_scores_gemma":[0.9993243,0.00003168774,0.00002011051,0.00003999758,0.0001058196,0.0004781175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000313239,0.00001741998,0.001463178,0.0001394846,0.00001775177,0.0004134467,0.002780716,0.00008022544,0.0004445153,0.1024447,0.8420113,0.05015612],"study_design_scores_gemma":[0.000004754893,0.00001405469,0.001100454,0.00004304725,0.00000339129,0.00005487826,0.0006677289,0.00004535734,0.000070987,0.003749352,0.9942365,0.000009424339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0179507,0.04483563,0.001199203,0.401055,0.03112346,0.00006460385,0.0009579026,0.0006363493,0.5021771],"genre_scores_gemma":[0.1061403,0.01584849,0.001162748,0.09170724,0.003265093,0.00007764293,0.0008496832,0.00015471,0.7807941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03505712,"threshold_uncertainty_score":0.1172778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03678932704595596,"score_gpt":0.4371016063863705,"score_spread":0.4003122793404146,"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."}}