{"id":"W3021308099","doi":"10.2139/ssrn.3023857","title":"Economic Externalities of Autocomplete: Evidence from Financial Markets","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Externality; Economics; Financial market; Monetary economics; Business; Financial economics; Financial system; Finance; Microeconomics","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":[0.002594691,0.0002522704,0.0005538827,0.000983819,0.0005564308,0.002605803,0.0004874313,0.0009633899,0.01746366],"category_scores_gemma":[0.02549853,0.0002862238,0.0003925232,0.001062315,0.001680727,0.002487928,0.001085043,0.001186659,0.0007363008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006151954,"about_ca_system_score_gemma":0.0004681587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002593752,"about_ca_topic_score_gemma":0.00237444,"domain_scores_codex":[0.9994342,0.000218562,0.00003818177,0.00007746241,0.0001459726,0.00008566174],"domain_scores_gemma":[0.9395273,0.03659201,0.01550199,0.004127352,0.00169605,0.002555362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008527118,0.004629974,0.7727686,0.0003496421,0.0005796421,0.001106179,0.001035922,0.01533175,0.003657075,0.1059441,0.006287922,0.07978206],"study_design_scores_gemma":[0.0008181576,0.0009763233,0.8622284,0.00006800133,0.0003081486,0.0005139556,0.00122035,0.0116848,0.001367505,0.1144792,0.006277692,0.00005739769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854092,0.0003354056,0.0006803846,0.0005214223,0.000009761169,0.000016771,0.0003327373,0.00003110987,0.01266318],"genre_scores_gemma":[0.9982588,0.0001932926,0.0001162356,0.00006736221,0.00003060895,0.000006324743,0.000225311,0.00001019539,0.001091957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01746366,"threshold_uncertainty_score":0.05842173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04133984245072982,"score_gpt":0.347083162154001,"score_spread":0.3057433197032712,"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."}}