{"id":"W7095072146","doi":"","title":"Laurentian University LIQUIDITY COST DETERMINANTS FOR S&P 500 INDEX FUNDS ADDING STOCKS","year":2005,"lang":"en","type":"article","venue":"","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Market liquidity; Stock market index; Index fund","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001243401,0.000209274,0.0002597737,0.001170739,0.0004695155,0.002417722,0.0004972682,0.000913505,0.01357352],"category_scores_gemma":[0.01843814,0.0002140583,0.0004729664,0.0007282863,0.0004816295,0.001193027,0.0008373229,0.001068771,0.0008228112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055513,"about_ca_system_score_gemma":0.001546094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02255233,"about_ca_topic_score_gemma":0.02521938,"domain_scores_codex":[0.9995971,0.00008962859,0.00003473364,0.00005280553,0.00007495622,0.0001508473],"domain_scores_gemma":[0.9745136,0.01326773,0.006785336,0.000540935,0.00134788,0.003544491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006766491,0.000188585,0.973779,0.00002195347,0.00009505919,0.0003509331,0.0001752691,0.001905704,0.0003120145,0.005185704,0.006253477,0.01105559],"study_design_scores_gemma":[0.000101566,0.0002064229,0.9708723,0.00005184161,0.0002327465,0.0002354547,0.001016568,0.01480737,0.001254482,0.006680131,0.004505054,0.00003602825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920179,0.0002562091,0.0002410977,0.002907691,0.00002889624,0.000008710374,0.0005869693,0.0000219232,0.00393077],"genre_scores_gemma":[0.9962368,0.00008062009,0.00009598739,0.000101516,0.00008242983,0.000005418746,0.00025077,0.000007001807,0.003139462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02255233,"threshold_uncertainty_score":0.04540795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06195123328532755,"score_gpt":0.2763307571334859,"score_spread":0.2143795238481583,"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."}}