{"id":"W3122131720","doi":"","title":"Models for Bundle Trading in Financial Markets","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bidding; Humanities; Flexibility (engineering); Economics; Welfare economics; Mathematics; Computer science; Mathematical economics; Microeconomics; Art; Management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002089902,0.001084519,0.001594587,0.0009977695,0.000830206,0.002992321,0.001818104,0.002924632,0.01331128],"category_scores_gemma":[0.006063626,0.0008044323,0.001903677,0.001449464,0.001559142,0.004343761,0.001663021,0.001852065,0.001589923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356049,"about_ca_system_score_gemma":0.000931068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004049585,"about_ca_topic_score_gemma":0.003342676,"domain_scores_codex":[0.9990994,0.0004759917,0.00004811703,0.0001340765,0.0001449047,0.00009757261],"domain_scores_gemma":[0.9982352,0.001128765,0.0001893761,0.000142527,0.0001418754,0.0001622745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005609451,0.00004466788,0.0007472901,0.00005276531,0.00003547408,0.0001045804,0.0001148892,0.521484,0.0002637891,0.4688961,0.001503028,0.006697327],"study_design_scores_gemma":[0.00001448415,0.00001385127,0.0001137611,0.000008118567,0.000006923468,0.00002822051,0.00001598283,0.8273331,0.00003266115,0.1709107,0.00151461,0.000007539517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04382382,0.00178738,0.9305511,0.001464627,0.0001853847,0.00007955674,0.0004491321,0.0002652847,0.02139381],"genre_scores_gemma":[0.7742637,0.003080416,0.1620738,0.000336844,0.0004374915,0.0006635936,0.0009514514,0.0003287899,0.05786386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01331128,"threshold_uncertainty_score":0.04453063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08507026426689701,"score_gpt":0.2840143439650925,"score_spread":0.1989440796981955,"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."}}