{"id":"W2606817207","doi":"10.2139/ssrn.2939012","title":"Inverted Fee Venues and Market Quality","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Quality (philosophy); Business; Industrial organization","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":[0.002823732,0.0002614155,0.001074177,0.003097486,0.001368959,0.005738193,0.001329599,0.00167374,0.05264211],"category_scores_gemma":[0.05740793,0.0003048759,0.0004484284,0.00296245,0.002253443,0.01044887,0.002015902,0.00202658,0.001871061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483574,"about_ca_system_score_gemma":0.0007711514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00284802,"about_ca_topic_score_gemma":0.00326405,"domain_scores_codex":[0.9983661,0.000566567,0.00009671963,0.0001807238,0.0003650491,0.0004249305],"domain_scores_gemma":[0.9451644,0.03462546,0.006621312,0.003806056,0.002871019,0.006911752],"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":[0.001372664,0.0006729721,0.05863501,0.0001834836,0.0001441692,0.0003506432,0.000741182,0.01616956,0.001266333,0.8306996,0.01234369,0.0774207],"study_design_scores_gemma":[0.0002174558,0.0002151543,0.02517649,0.00005803494,0.00006696019,0.0006896205,0.001374583,0.04178192,0.0005682039,0.9228839,0.006890608,0.00007705873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8514639,0.001528642,0.04181141,0.003311911,0.0001120046,0.0001402916,0.001149302,0.0004854662,0.09999712],"genre_scores_gemma":[0.9932162,0.0001382889,0.001703572,0.00004864343,0.00004987754,0.00001275455,0.000159098,0.00004085981,0.004630656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05264211,"threshold_uncertainty_score":0.1761054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02431227034717605,"score_gpt":0.2380627327901505,"score_spread":0.2137504624429745,"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."}}