{"id":"W2084148842","doi":"10.1080/14697680802595676","title":"Some applications of<i>M</i>-ary detection in quantitative finance","year":2009,"lang":"en","type":"article","venue":"Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mathematical finance; Economics; Financial economics; Econometrics; Finance","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"],"consensus_categories":[],"category_scores_codex":[0.0004478518,0.0002388447,0.0005888856,0.000389801,0.0001190229,0.00003076502,0.0002784591,0.000121857,0.00002687712],"category_scores_gemma":[0.0002235322,0.00028364,0.0001275668,0.000969147,0.0002052807,0.0008407981,0.00002591859,0.0002242811,0.0001940857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009160208,"about_ca_system_score_gemma":0.00005130984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002195823,"about_ca_topic_score_gemma":0.00006747036,"domain_scores_codex":[0.9980846,0.00003561693,0.0008949913,0.0005563063,0.00006356929,0.000364908],"domain_scores_gemma":[0.9987439,0.0001368365,0.0006610145,0.0003469568,0.0000772658,0.00003401389],"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":[0.00008242881,0.0002103741,0.001136065,0.00003049791,0.000009036026,0.000003178742,0.0005123232,0.0003282599,0.0003978184,0.9934908,0.0001737235,0.003625553],"study_design_scores_gemma":[0.0006997072,0.0009341853,0.2231824,0.00009774284,0.000004345256,0.000001461217,0.0001838143,0.00336102,0.001842333,0.7407838,0.02845632,0.0004529632],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8744924,0.03963006,0.03589423,0.001358208,0.0006259425,0.001587868,0.0004783989,0.0001052392,0.04582763],"genre_scores_gemma":[0.9857557,0.003710458,0.009503921,0.0003282806,0.00004871619,0.0001517258,0.00001429217,0.00001871587,0.0004681892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.252707,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03767084545854198,"score_gpt":0.2657670676487361,"score_spread":0.2280962221901941,"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."}}