{"id":"W2134842334","doi":"10.2469/cfm.v26.n4.10","title":"Fees and Ticks","year":2015,"lang":"en","type":"article","venue":"CFA Magazine","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Scrutiny; Business; Value (mathematics); Actuarial science; Finance; Law; Political science; Mathematics; Statistics","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":[0.002897496,0.0004423576,0.0005440354,0.001672702,0.003625175,0.01088165,0.0008811443,0.003525165,0.04202948],"category_scores_gemma":[0.02804585,0.0003064861,0.0004582043,0.001471173,0.007222981,0.0120084,0.003851604,0.004282725,0.008341445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002894151,"about_ca_system_score_gemma":0.002084817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004157732,"about_ca_topic_score_gemma":0.004102662,"domain_scores_codex":[0.9961362,0.001001243,0.0001971518,0.0004158703,0.001588027,0.000661495],"domain_scores_gemma":[0.9928324,0.002179529,0.0009214444,0.001113967,0.001704833,0.001247914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001142473,0.00002552477,0.001041314,0.00004580346,0.00001175311,0.0001416788,0.0009059365,0.000217818,0.0001942968,0.8103346,0.1275944,0.05937262],"study_design_scores_gemma":[0.00002514237,0.00003697599,0.001311942,0.0001664841,0.000009464422,0.0004011466,0.0007279877,0.0002363167,0.0001735654,0.2231728,0.773708,0.00003014527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02629703,0.01614067,0.0135548,0.1196063,0.009663587,0.00005994815,0.0004196047,0.0003994461,0.8138586],"genre_scores_gemma":[0.5835105,0.01288826,0.006196,0.03867891,0.01067296,0.0001048606,0.0003403211,0.000673598,0.3469346],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04202948,"threshold_uncertainty_score":0.1406026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04539327311663457,"score_gpt":0.2262965489418249,"score_spread":0.1809032758251903,"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."}}