{"id":"W3130217728","doi":"10.2139/ssrn.3722391","title":"A Machine Learning Attack on Illegal Trading","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Business; Computer security; Computer science","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0149181,0.0002298206,0.0003852377,0.0002624227,0.0005258029,0.0003207276,0.001009662,0.00008405121,0.0005465994],"category_scores_gemma":[0.01626105,0.0001693784,0.0002818093,0.0010015,0.00005380074,0.0002681209,0.00009868985,0.004521246,0.0003096122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004611811,"about_ca_system_score_gemma":0.0009907462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009163592,"about_ca_topic_score_gemma":0.00003751829,"domain_scores_codex":[0.9939402,0.001127499,0.0006897711,0.0005065294,0.001561648,0.002174397],"domain_scores_gemma":[0.9969885,0.00190695,0.000429628,0.0002284241,0.0001471079,0.0002993275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007481481,0.00006066436,0.01496342,0.000003457844,0.0001584037,0.00005037305,0.001486829,0.002533998,0.0006517428,0.05235457,0.003057508,0.9239309],"study_design_scores_gemma":[0.003408439,0.005418273,0.002876262,0.00006682926,0.00008133394,0.002746372,0.005375315,0.2036773,0.0003162354,0.5232746,0.2517247,0.00103432],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5958107,0.003169281,0.3033824,0.02107584,0.001273015,0.0003426513,0.000005215919,0.0002814505,0.07465942],"genre_scores_gemma":[0.9926163,0.0001729982,0.002067754,0.0006836278,0.0007419086,0.000002025894,7.453799e-7,0.00003803101,0.00367663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9228966,"threshold_uncertainty_score":0.9977754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301502634625518,"score_gpt":0.3937986907550581,"score_spread":0.2636484272925063,"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."}}