{"id":"W2404568588","doi":"10.13140/rg.2.1.1009.0007","title":"A Model-Driven Solution for Financial Data Representation Expressed in FIXML","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Modularity (biology); Representation (politics); Transformation (genetics); Programming language; Set (abstract data type); Code (set theory); External Data Representation; Data mining; Theoretical computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003798425,0.001079165,0.0006848099,0.002011254,0.0009597181,0.004033399,0.002722597,0.001868098,0.003899661],"category_scores_gemma":[0.009488115,0.0009036022,0.002251964,0.001403745,0.001240629,0.00454338,0.003425609,0.003425757,0.001768755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307161,"about_ca_system_score_gemma":0.002348076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002499701,"about_ca_topic_score_gemma":0.003068023,"domain_scores_codex":[0.9963509,0.0009694633,0.0004301205,0.0005183669,0.001470729,0.0002604159],"domain_scores_gemma":[0.9955981,0.00129688,0.0003358781,0.001843245,0.0008338408,0.00009197876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005026061,0.0004189856,0.003706376,0.001119201,0.0002810601,0.001937956,0.002176679,0.1272133,0.0460819,0.4136355,0.02603643,0.37689],"study_design_scores_gemma":[0.00007596785,0.0001397956,0.000429402,0.0002532279,0.0001414147,0.0008540603,0.000388517,0.6595163,0.09603423,0.1081259,0.1338978,0.0001434165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002126915,0.00003471774,0.9895505,0.0001978141,0.00003732635,0.00009840319,0.0002735078,0.006733792,0.0009469292],"genre_scores_gemma":[0.07400936,0.0001648065,0.9175701,0.0003685228,0.0000394757,0.0004031613,0.002278074,0.002160102,0.003006383],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004033399,"threshold_uncertainty_score":0.02008826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08810088202502438,"score_gpt":0.3225617215637276,"score_spread":0.2344608395387032,"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."}}