{"id":"W4367547514","doi":"10.52547/jfmp.12.40.9","title":"The Effects of Order Flow Imbalance on Stock Prices in Tehran Stock Exchange","year":2022,"lang":"en","type":"article","venue":"Chashm/andāz-i mudīriyyat-i mālī","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stock exchange; Stock (firearms); Econometrics; Economics; Financial economics; Monetary economics; Mathematics; Finance; 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":[0.0004971618,0.0002739948,0.000311333,0.0009706185,0.0003688943,0.001213827,0.0001986115,0.0004333377,0.003090827],"category_scores_gemma":[0.003805756,0.0001354164,0.0003396143,0.0008322246,0.000222975,0.0007371317,0.0003926707,0.0006882511,0.0003401453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000827177,"about_ca_system_score_gemma":0.0005771833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01524037,"about_ca_topic_score_gemma":0.01338482,"domain_scores_codex":[0.9997018,0.0000417343,0.0000372305,0.00003951618,0.0001252777,0.00005443796],"domain_scores_gemma":[0.9984778,0.0004424396,0.0004841461,0.00006864013,0.0003189204,0.0002080911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002105347,0.0004631043,0.9370399,0.00008678259,0.0002703838,0.002237647,0.0007481904,0.01275935,0.00550434,0.002131801,0.005514399,0.03113875],"study_design_scores_gemma":[0.00005660709,0.0001858773,0.9704919,0.00001627941,0.00009239202,0.0002057641,0.0007817715,0.02491719,0.0009158533,0.001159509,0.001154839,0.00002212579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976333,0.0001860262,0.0001298811,0.0002791346,0.00003382591,0.00000631999,0.0002568741,0.00001612542,0.001458542],"genre_scores_gemma":[0.9987335,0.0001345397,0.00008671735,0.00002501841,0.00003069183,0.000003664195,0.0003660957,0.000003860698,0.0006159499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01524037,"threshold_uncertainty_score":0.0303033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00895856259592697,"score_gpt":0.2134415174624467,"score_spread":0.2044829548665197,"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."}}