{"id":"W4244673817","doi":"10.1111/j.1467-6346.2010.03326.x","title":"G‐20 Summit (Toronto): Attempt to Reconcile Differences","year":2010,"lang":"en","type":"article","venue":"Africa Research Bulletin Economic Financial and Technical Series","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Summit; Citation; Library science; Political science; Computer science; Geography; Cartography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008740564,0.0002206671,0.0003648883,0.0001454533,0.0004991555,0.000388602,0.0005247187,0.000190355,0.003613942],"category_scores_gemma":[0.0002487741,0.0002017516,0.00008324151,0.0001138627,0.0004620012,0.0005421392,0.0004021072,0.0004569543,0.001856034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006921557,"about_ca_system_score_gemma":0.000062002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006221783,"about_ca_topic_score_gemma":0.04904741,"domain_scores_codex":[0.9982063,0.00001051502,0.0003887551,0.0005164114,0.0001356354,0.0007423658],"domain_scores_gemma":[0.9993243,0.0001213914,0.0000750183,0.0003290589,0.00006645452,0.00008383416],"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":[0.0004547804,0.0001590386,0.06389194,0.0001333984,0.00002679794,0.00001762233,0.0001666413,0.000002220293,0.003014408,0.411831,0.4981404,0.02216173],"study_design_scores_gemma":[0.0001908626,0.0000578477,0.1005226,0.00001498297,0.000005812488,0.000002804946,0.00009590867,0.000006631597,0.00006415464,0.009160495,0.8896183,0.0002596133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8602182,0.0001173969,0.000006542472,0.0167926,0.0005080075,0.0003753662,0.00003268346,0.000184535,0.1217647],"genre_scores_gemma":[0.9936576,0.00007699415,0.0002626492,0.0004669721,0.00168943,0.0001664021,0.00001083938,0.00002604288,0.003643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4026705,"threshold_uncertainty_score":0.9989212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02938246292792448,"score_gpt":0.2463858573986159,"score_spread":0.2170033944706914,"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."}}