{"id":"W3125982192","doi":"","title":"Price Improvement and Execution Risk in Lit and Dark Markets","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Dark tourism; Business; Systemic risk; Economics; Monetary economics; Financial economics; Financial crisis; Macroeconomics; Geography","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":[0.003385794,0.0003764612,0.0009078329,0.0008466706,0.0006459582,0.003589342,0.0007546782,0.001949138,0.008487302],"category_scores_gemma":[0.02454533,0.0003137469,0.0005175481,0.0005225096,0.0024182,0.004741557,0.001557992,0.002914298,0.0002692103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008108037,"about_ca_system_score_gemma":0.0005700315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619938,"about_ca_topic_score_gemma":0.001133882,"domain_scores_codex":[0.9994498,0.0001258558,0.00003711195,0.00008775258,0.00009756458,0.0002019908],"domain_scores_gemma":[0.9797477,0.01009949,0.005756838,0.000865897,0.0007537075,0.002776467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.004175051,0.001205075,0.1200897,0.0002366697,0.0003215287,0.002326222,0.001206474,0.09880355,0.007128855,0.7107903,0.005453447,0.04826305],"study_design_scores_gemma":[0.0003642051,0.0008950474,0.06303363,0.00003640584,0.0002053693,0.0004229816,0.0008803477,0.2588834,0.001333511,0.6724216,0.001386233,0.0001371659],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818109,0.0006501384,0.009819657,0.001305842,0.00003976574,0.00001620063,0.00007809051,0.00007919523,0.006200132],"genre_scores_gemma":[0.998287,0.00008868825,0.0002200761,0.00002994629,0.00003464715,0.000002511821,0.00002323898,0.000007297672,0.001306586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008487302,"threshold_uncertainty_score":0.02839291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00770723677803173,"score_gpt":0.1952452303804667,"score_spread":0.187537993602435,"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."}}