{"id":"W4285058872","doi":"10.2139/ssrn.4154455","title":"<div> <div> <div> <p><span>Mutual fund trading, fund flows, and ESG portfolios</span></p> </div> </div></div>","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Business; Crash; Stock market crash; Financial system; Liberian dollar; Corporate governance; Stock (firearms); Finance; Monetary economics; Stock market; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.02193641,0.009189757,0.01166102,0.009665764,0.009408862,0.004864022,0.01132846,0.004986488,0.0141874],"category_scores_gemma":[0.004574309,0.01083612,0.005908971,0.01022677,0.003284811,0.007337415,0.005476621,0.01666724,0.004129463],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02459973,"about_ca_system_score_gemma":0.01506951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008602572,"about_ca_topic_score_gemma":0.01100831,"domain_scores_codex":[0.9405507,0.002650069,0.01400962,0.0109805,0.005866038,0.02594305],"domain_scores_gemma":[0.9684777,0.003027817,0.01121886,0.008271907,0.002097626,0.00690608],"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":[0.01079302,0.01292301,0.03762239,0.003094605,0.02444861,0.006396777,0.01688699,0.009436832,0.06417276,0.3771221,0.372389,0.06471393],"study_design_scores_gemma":[0.02527644,0.007759115,0.01506372,0.001011685,0.003027974,0.01044887,0.00154663,0.01667647,0.001033966,0.05454059,0.8498353,0.01377923],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7446054,0.1680604,0.00779743,0.008072812,0.01498176,0.008447396,0.005671914,0.002598359,0.03976455],"genre_scores_gemma":[0.8851818,0.06220362,0.001149322,0.004896825,0.009234052,0.001075087,0.001605817,0.002697502,0.03195595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4774463,"threshold_uncertainty_score":0.9994277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000639436607578,"score_gpt":0.2475525123314508,"score_spread":0.217546117965375,"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."}}