{"id":"W4378188952","doi":"10.1017/cyl.2023.1","title":"Recentering the World: China and the Transformation of International Law. By Ryan Martínez Mitchell. Cambridge: Cambridge University Press, 2023. 250 pages.","year":2023,"lang":"en","type":"article","venue":"Canadian Yearbook of international Law/Annuaire canadien de droit international","topic":"International Law and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Asia Pacific Foundation of Canada","funders":"","keywords":"China; Content (measure theory); Political science; Law; Art; 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":[0.000942206,0.001334323,0.0005547688,0.002382796,0.002607128,0.003802447,0.0009830236,0.00186657,0.01819189],"category_scores_gemma":[0.001461087,0.0004427214,0.0003459406,0.006585316,0.00299025,0.005335722,0.001625342,0.002205905,0.002980014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009855918,"about_ca_system_score_gemma":0.01281736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2342468,"about_ca_topic_score_gemma":0.4288364,"domain_scores_codex":[0.9996423,0.00007685587,0.00001929163,0.00003658731,0.0001437447,0.00008128637],"domain_scores_gemma":[0.9996104,0.00009122766,0.00005669594,0.00002031147,0.000108777,0.0001126507],"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":[0.00001924323,0.00001520194,0.0006220813,0.0003759709,0.000006990864,0.0001105847,0.002815465,0.0001321809,0.00006512862,0.04710132,0.8537191,0.09501665],"study_design_scores_gemma":[0.000006466671,0.000006980558,0.005478639,0.0009054279,0.000005410453,0.00007894955,0.00228196,0.0001046898,0.00005768812,0.01156295,0.9794971,0.00001374368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001369711,0.8647048,0.0001956121,0.06948595,0.004407385,0.00002045659,0.0004390145,0.00005366554,0.05932343],"genre_scores_gemma":[0.04798909,0.6459872,0.0007229697,0.008680731,0.003089971,0.000097583,0.0007781903,0.0001097665,0.2925446],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2342468,"threshold_uncertainty_score":0.4657668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007005111368522067,"score_gpt":0.2174122345425054,"score_spread":0.2104071231739833,"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."}}