{"id":"W2920025116","doi":"10.4337/9781785366086.00027","title":"Geopolitical shifts in the triangle “US–GCC–China”: present relations and future prospects","year":2019,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Middle East and Rwanda Conflicts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geopolitics; China; Politics; Political science; Quarter (Canadian coin); Power (physics); Phenomenon; Development economics; Political economy; Population; International relations; Economy; Geography; Sociology; Economics; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002329764,0.0003692723,0.000490359,0.0002801579,0.0007226599,0.002352378,0.0008607405,0.0009748618,0.000440836],"category_scores_gemma":[0.0004460936,0.0002790893,0.0001968234,0.00006942384,0.000463847,0.0006858282,0.0002060976,0.001725931,0.0001074852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001856315,"about_ca_system_score_gemma":0.0009755202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001440891,"about_ca_topic_score_gemma":0.005369095,"domain_scores_codex":[0.9968132,0.0002712462,0.0004656841,0.0006036887,0.001161985,0.0006841444],"domain_scores_gemma":[0.9984066,0.0003924628,0.0002360514,0.000558809,0.000145166,0.0002608863],"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":[0.00001567614,0.00001441311,0.0002045001,0.00003083671,0.00003120804,0.00002374172,0.01997222,3.675208e-7,2.452103e-7,0.9577687,0.01746016,0.004477871],"study_design_scores_gemma":[0.0004317624,0.00003608612,0.002611805,0.0001395544,0.00004344101,0.000003767034,0.0008723162,0.00000668453,4.026593e-7,0.07725731,0.9182735,0.0003233581],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006894573,0.0009225947,0.000006194078,0.01705169,0.001651762,0.001324918,0.00003956533,0.0001140768,0.9781997],"genre_scores_gemma":[0.02811412,0.00006692405,0.00007640533,0.0007151904,0.007597345,0.00003894838,0.00005364131,0.00006830743,0.9632691],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9008133,"threshold_uncertainty_score":0.9999661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107344121778662,"score_gpt":0.2558812859807694,"score_spread":0.2348078447629828,"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."}}