{"id":"W2937963088","doi":"","title":"The Australian OTC Derivatives Market: Insights from New Trade Repository Data | Bulletin – June Quarter 2018","year":2018,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Advertising; Business; 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":[0.003903147,0.0002538977,0.0005100705,0.009378426,0.001436565,0.006833789,0.0009550028,0.001194107,0.01737671],"category_scores_gemma":[0.03654291,0.0005115384,0.0004157668,0.02176265,0.0008988639,0.005103202,0.001851585,0.001951922,0.006029491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004892395,"about_ca_system_score_gemma":0.004422151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2327457,"about_ca_topic_score_gemma":0.3175042,"domain_scores_codex":[0.9949813,0.0003850848,0.0003429925,0.0002349356,0.003637084,0.0004185625],"domain_scores_gemma":[0.9670163,0.008538902,0.007271226,0.002274663,0.01368897,0.001210026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003831208,0.0001864431,0.2611903,0.0006480279,0.0001562019,0.0007400078,0.004977487,0.001409297,0.0006517757,0.01718921,0.6259336,0.08653449],"study_design_scores_gemma":[0.00001893562,0.00004270362,0.6363404,0.0002756956,0.00006881024,0.0002831773,0.003263956,0.003818661,0.0008263412,0.002161814,0.3528233,0.00007623277],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5468198,0.005003066,0.001585336,0.02472483,0.0005260856,0.0002330444,0.2244413,0.0005347013,0.1961318],"genre_scores_gemma":[0.7421592,0.003769351,0.001485404,0.002248368,0.0004613326,0.0001731947,0.1236501,0.0004001638,0.1256529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2327457,"threshold_uncertainty_score":0.462782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971524697115561,"score_gpt":0.2224248499970753,"score_spread":0.2027096030259196,"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."}}