{"id":"W2936496574","doi":"","title":"Trends in China's Capital Account | Bulletin – June Quarter 2018","year":2018,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Geochemistry and Geochronology of Asian Mineral Deposits","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); China; Political science; Geography","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":[0.0003917732,0.0006127844,0.0004146328,0.0025736,0.0006329779,0.002201083,0.0003863163,0.0006996355,0.01718723],"category_scores_gemma":[0.001909138,0.0002652098,0.0002255798,0.005643404,0.000209521,0.001565497,0.0004768274,0.0009711208,0.00784222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002821298,"about_ca_system_score_gemma":0.002709737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08775392,"about_ca_topic_score_gemma":0.1376322,"domain_scores_codex":[0.9996703,0.000009767376,0.00002691227,0.00004331861,0.0001925177,0.00005730044],"domain_scores_gemma":[0.9987171,0.00005864796,0.0002462843,0.00006062286,0.0007566409,0.0001607239],"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":[0.0001765827,0.00004853683,0.05394837,0.000219598,0.00004264342,0.0001533919,0.0001919043,0.0004737377,0.0003576778,0.003916936,0.8738306,0.06664006],"study_design_scores_gemma":[0.00002630563,0.00004300393,0.316512,0.00006696967,0.00003686493,0.00007325834,0.0001543032,0.0008624278,0.0007356327,0.0006058819,0.6808571,0.00002629307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2927869,0.02502849,0.001041192,0.03339304,0.009199608,0.0001685569,0.3478751,0.002829241,0.2876778],"genre_scores_gemma":[0.4839515,0.01393549,0.00060507,0.001462729,0.003371586,0.0001455437,0.1336127,0.0003580575,0.3625573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08775392,"threshold_uncertainty_score":0.1744863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174893689024926,"score_gpt":0.2053957316496672,"score_spread":0.1936467947594179,"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."}}