{"id":"W2097823598","doi":"10.2139/ssrn.2373196","title":"Algorithmic Trading with Learning","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; University of Toronto","funders":"","keywords":"Computer science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003292994,0.000093419,0.0001266576,0.0001497043,0.0005991412,0.0002783068,0.0004378631,0.00003640807,0.0008936372],"category_scores_gemma":[0.0002056809,0.00005906434,0.00006767688,0.0004950745,0.0000674473,0.000522157,0.00001885575,0.001467719,0.001151863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870518,"about_ca_system_score_gemma":0.0005012953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001413168,"about_ca_topic_score_gemma":0.00002634939,"domain_scores_codex":[0.997732,0.0001587784,0.0002973359,0.0002076784,0.0005259035,0.001078254],"domain_scores_gemma":[0.9990967,0.0002340171,0.000222661,0.0001729164,0.0001771035,0.0000965867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001981623,0.00004464077,0.003326462,4.410516e-7,0.00006670153,0.000001351083,0.0004126892,0.0006721891,0.001146524,0.5172958,0.0008121508,0.4762012],"study_design_scores_gemma":[0.0002509506,0.0001805729,0.0007243921,0.000003963811,0.000008296902,0.0008479815,0.008741483,0.002018611,0.000130404,0.9765385,0.01044286,0.0001119914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4943013,0.0003094885,0.4958988,0.002501846,0.00008658076,0.0001465202,2.7868e-7,0.00005283266,0.006702318],"genre_scores_gemma":[0.9822019,0.00009349461,0.0004485042,0.00006192706,0.0002206815,0.00001471171,4.010577e-7,0.00001103035,0.01694733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4954503,"threshold_uncertainty_score":0.9996259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02406172091945587,"score_gpt":0.3075231342135052,"score_spread":0.2834614132940494,"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."}}