{"id":"W6945706501","doi":"10.25949/19427135","title":"The Impact of regulatory changes on derivates markets","year":2019,"lang":"en","type":"dissertation","venue":"Macquarie University","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Transaction cost; Index (typography); Derivatives market; Price discovery; Empirical evidence; Database transaction; Derivative (finance)","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":[],"consensus_categories":[],"category_scores_codex":[0.00007751719,0.000117381,0.0001922358,0.00007261652,0.0001537724,0.000002878972,0.0001313318,0.0002349765,0.0001264518],"category_scores_gemma":[0.00002979265,0.00008129774,0.0001336504,0.0001012047,0.00007860448,0.000008535279,0.00001426293,0.0002017245,0.00003825156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009322035,"about_ca_system_score_gemma":0.0001403943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001072169,"about_ca_topic_score_gemma":0.00005631784,"domain_scores_codex":[0.999544,0.00003641839,0.00006422775,0.00015959,0.00008321017,0.0001125894],"domain_scores_gemma":[0.9992326,0.00018042,0.0001272195,0.000332968,0.00008581593,0.00004097675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.07627776,0.002414836,0.2038002,0.002696137,0.008226565,0.0002182988,0.006570036,0.0000888724,0.2418782,0.09657282,0.2204256,0.1408307],"study_design_scores_gemma":[0.0006659462,0.0005798628,0.9649592,0.000165446,0.0001950847,0.000002924825,0.001358038,0.00003270887,0.008576814,0.000141794,0.02315878,0.0001634153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567515,0.0001875286,7.628379e-7,0.0003060216,0.000109166,0.000296182,0.00005614259,0.00002125479,0.04227139],"genre_scores_gemma":[0.9450116,0.0001962644,0.000007940995,0.00002226343,0.00002850931,4.532649e-7,0.0005134643,0.000008453238,0.05421108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.761159,"threshold_uncertainty_score":0.3315226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007918502810066369,"score_gpt":0.2550797318525921,"score_spread":0.2471612290425257,"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."}}