{"id":"W3199477175","doi":"10.1111/fmii.12151","title":"Analoging the digital: Designing better binary option contracts","year":2021,"lang":"en","type":"article","venue":"Financial Markets Institutions and Instruments","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Binary option; Stochastic game; Asset (computer security); Binary number; Computer science; Nothing; Key (lock); Speculation; Incentive; Order (exchange); Liberian dollar; Economics; Microeconomics; Financial economics; Valuation of options; Asian option; Finance; Computer security; Arithmetic; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003313581,0.0002103137,0.0002927502,0.0001258859,0.0008286474,0.0004486604,0.0001641547,0.0001233837,0.0001328557],"category_scores_gemma":[0.0004008246,0.0001919764,0.00009836371,0.0003586802,0.0002724362,0.0009504529,0.0001390655,0.0002214015,0.00008028727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008178672,"about_ca_system_score_gemma":0.0001466256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004258719,"about_ca_topic_score_gemma":0.00001153718,"domain_scores_codex":[0.9985871,0.00002741621,0.000520748,0.0004284731,0.00006506834,0.0003712474],"domain_scores_gemma":[0.9993389,0.00004336613,0.0002068818,0.0002816338,0.00004697172,0.00008229254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003318423,0.0001264137,0.03551121,0.00002404866,0.000037838,0.00003323925,0.0001098423,0.00001807167,0.00009739754,0.9231982,0.001573395,0.03923711],"study_design_scores_gemma":[0.0007405938,0.00006897556,0.4912139,0.00009392354,0.00001354553,0.00003608226,0.00009517652,0.0005376435,0.00009941165,0.05718296,0.4495486,0.0003691902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.866141,0.001660421,0.002356082,0.001478997,0.001109686,0.000256893,0.0001872786,0.00005441432,0.1267553],"genre_scores_gemma":[0.9962253,0.0007656326,0.0008592192,0.001338747,0.0001711584,0.00004306079,0.00006621509,0.00001404908,0.0005165956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8660153,"threshold_uncertainty_score":0.7828571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364912117297701,"score_gpt":0.2226342179947748,"score_spread":0.1861430062650047,"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."}}